Changing stroke rehab and research worldwide now.Time is Brain! trillions and trillions of neurons that DIE each day because there are NO effective hyperacute therapies besides tPA(only 12% effective). I have 523 posts on hyperacute therapy, enough for researchers to spend decades proving them out. These are my personal ideas and blog on stroke rehabilitation and stroke research. Do not attempt any of these without checking with your medical provider. Unless you join me in agitating, when you need these therapies they won't be there.

What this blog is for:

My blog is not to help survivors recover, it is to have the 10 million yearly stroke survivors light fires underneath their doctors, stroke hospitals and stroke researchers to get stroke solved. 100% recovery. The stroke medical world is completely failing at that goal, they don't even have it as a goal. Shortly after getting out of the hospital and getting NO information on the process or protocols of stroke rehabilitation and recovery I started searching on the internet and found that no other survivor received useful information. This is an attempt to cover all stroke rehabilitation information that should be readily available to survivors so they can talk with informed knowledge to their medical staff. It lays out what needs to be done to get stroke survivors closer to 100% recovery. It's quite disgusting that this information is not available from every stroke association and doctors group.

Showing posts with label artificial intelligence. Show all posts
Showing posts with label artificial intelligence. Show all posts

Saturday, June 21, 2025

AI and stroke rehabilitation: the past, present and future

 AI is almost completely worthless until the underlying research for 100% recovery is there!  You're putting the cart before the horse!

AI and stroke rehabilitation: the past, present and future

,
https://doi.org/10.1016/j.rerere.2025.05.002
Get rights and content
Under a Creative Commons license
Open access

Abstract

This article offers a comprehensive review of research progress in the field of artificial intelligence and stroke rehabilitation. It begins by exploring its historical development, which has progressed through the stages of germination, technological integration, and initial application, marked by ongoing innovation. The article then delves into the current research landscape, addressing core technological support, the expansion of application scenarios, and the verification of clinical effects that showcase the pivotal role of artificial intelligence in enhancing the efficiency and effectiveness of rehabilitation. Subsequently, future development trends are analyzed, including the move toward personalization and precision, the widespread adoption of remote and home-based rehabilitation, and the integration of multi-technology approaches alongside cross-disciplinary innovation. Concurrently, challenges facing the field—such as technological bottlenecks, the absence of ethical guidelines, and difficulties in adapting healthcare systems—are examined, with corresponding strategies and recommendations proposed. Lastly, the article highlights the reshaping of the stroke rehabilitation paradigm through artificial intelligence, discussing future research directions, social impacts, and visionary goals. It underscores the global importance of artificial intelligence in advancing stroke rehabilitation and fostering its development worldwide.

Keyword

Artificial Intelligence
Stroke
Rehabilitation
Personalized Therapy
Tele-rehabilitation

1. Introduction

Stroke, recognized as one of the leading causes of disability worldwide, can lead to severe sequelae, including motor dysfunction and cognitive impairment, which profoundly impact patients' quality of life and social functioning. Although traditional rehabilitation methods provide some symptom improvement, they are often limited by low efficiency and insufficient personalization, underscoring the urgent need for innovative rehabilitation technologies.1
In recent years, the rapid advancement of artificial intelligence (AI) has led to transformative breakthroughs in stroke rehabilitation. By integrating AI with cutting-edge technologies such as virtual reality (VR), rehabilitation robotics, and brain-computer interfaces (BCI), more precise and efficient rehabilitation strategies are being developed to serve patients. However, despite these promising innovations, challenges persist in areas such as data standardization, technological integration, and ethical considerations, which must be addressed to facilitate broader clinical implementation.2

More at link.

Tuesday, June 17, 2025

AI-Driven Hybrid Rehabilitation: Synergizing Robotics and Electrical Stimulation for Upper-Limb Recovery After Stroke

You'll have to depend on your competent? doctor to get this. Do you have a functioning stroke doctor or not?

AI-Driven Hybrid Rehabilitation: Synergizing Robotics and Electrical Stimulation for Upper-Limb Recovery After Stroke

  • 1Advanced Technologies in Medicine and Signals (ATMS), Ecole Nationale d’Ingénieurs de Sfax (ENIS), University of Sfax, Sfax 3038, Tunisia, Sfax, Tunisia
  • 2Department of Computer Engineering, College of Computer Engineering and Sciences, Prince Sattam Bin Abdulaziz University, Al-Kharj 11942, Saudi Arabia, Riadh, Saudi Arabia
  • 3Department of Mechanical Engineering, College of Engineering, Taif University, Taif 21944, Saudi Arabia., Taif, Saudi Arabia
This study presents an AI-enhanced hybrid rehabilitation system that integrates a dual-arm robotic platform with electromyography (EMG)-guided neuromuscular electrical stimulation (NMES) to support upper-limb motor recovery in stroke survivors. The system features a symmetrical robotic arm with real-time anatomical adaptation for bilateral therapy and incorporates a Support Vector Machine (SVM)-based model for continuous muscle fatigue detection using time-frequency features extracted from EMG signals. A ROS2-based architecture enables real-time signal processing, adaptive control, and remote supervision by clinicians. The system dynamically adjusts stimulation parameters based on fatigue classification results, allowing personalized and responsive therapy. Preliminary clinical validation with three post-stroke patients demonstrated a 44% increase in range of motion, 45% enhancement in active torque, and 36% reduction in passive torque. The SVM model achieved a 95% accuracy in fatigue detection, and initial patient results suggest the feasibility and potential benefits of this intelligent, closed-loop rehabilitation approach.

Friday, May 23, 2025

Stroke care continues to evolve thanks to AI, cardiologists and more

 

This is the whole problem in stroke enumerated in one word; 'care'; NOT RECOVERY!

YOU have to get involved and change this failure mindset of 'care' to 100% RECOVERY! Survivors want RECOVERY, NOT 'CARE'!

I see nothing here that states going for 100% recovery! You need to create EXACT PROTOCOLS FOR THAT!

ASK SURVIVORS WHAT THEY WANT, THEY'LL NEVER RESPOND 'CARE'! This tyranny of low expectations has to be completely rooted out of any stroke conversation! I wouldn't go there because of such incompetency as not having 100% recovery protocols!

RECOVERY IS THE ONLY GOAL IN STROKE! GET THERE!

Stroke care continues to evolve thanks to AI, cardiologists and more

Stroke care has made big advances in the past decade, moving from thrombolytics to interventional thrombectomy. The time to reperfusion and clinical outcomes have also been improved thanks to artificial intelligence and the creation of acute care(NOT RECOVERY!) stroke teams.

Cardiovascular Business spoke with Gregg C. Fonarow, MD, director of the Ahmanson-UCLA Cardiomyopathy Center, co-director of the UCLA Preventative Cardiology Program and Eliot Corday Chair in Cardiovascular Medicine and Science at UCLA, who explained this movement to interventional stroke care(NOT RECOVERY!) and how the American Heart Association (AHA) Get With The Guidelines-Stroke program evolved to include interventional thrombectomy to speed large vessel occlusion (LVO) strokes. He also examined the growing role of artificial intelligence (AI) and how cardiology is making an impact on stroke care(NOT RECOVERY!) teams.

Stroke patients have traditionally received intravenous tissue plasminogen activator (tPA) to dissolve clots. But the drug needs to be administered in a short time period or it in not effective.  Using thrombectomy catheters to remove clots directly from LVOs in the brain can be a complementary therapy used with tPA, Fonarow said.

“The real problem was a lot of patients would arrive too late. The clock starts at symptom onset, and for IV thrombolytics, the window is very short—within four and a half hours," Fonarow explained. "The early data was really not compelling, but then a series of trials came out that were really were compelling. So it became a standard of care(NOT RECOVERY!). We were able to integrate that into Get With the Guidelines-Stroke set time metrics with door-to-reperfusion time and we were able to see improvements."

The shift was relatively quick as a result of more and more research being released.

"Four trials hit, all within a 12-month period, all individually showing benefit for functional outcomes. It has been a much more compressed timeframe than percutaneous coronary intervention (PCI), which evolved slowly over decades,” Fonarow said.

But these procedures are more sophisticated than just having a cath lab; you need qualified interventional radiologists or neurologists who know how to use the various tools and deal with complications. He said this is where cardiology is making contributions to stroke care(NOT RECOVERY!) and may be key to helping expand these stroke interventions beyond large academic research hospitals in urban areas.

"There are so many more interventional cardiologists than interventional radiologists, so there's going to have to be further investment in ensuring a broader geographic approach so this therapy can be offered to not just highly resourced hospitals and only those patients fortunate enough to be adjacent who can really benefit from it," Fonarow said.

He said scaling the infrastructure, training staff and ensuring that best practices are shared are all important components. Pre-hospital coordination is also critical, so EMS personnel need training to identify LVO stroke symptoms and quickly route patients to the right hospital that can offer thrombectomy. “Time lost is brain lost,” Fonarow emphasizes.

AI accelerating door-to-reperfusion times

Another game-changer in stroke care(NOT RECOVERY!) has been the rise of AI. Among some of the first commercially successful AI tools cleared by the FDA were stroke alerts systems offered by several vendors. The AI reads scans directly off a CT scanner and can send alert notifications with patient imaging to the entire stroke team before the images are even loaded into the picture archiving and communication systems (PACS). The AI flags potential stroke cases in real time and greatly speeds up the diagnosis by a human physician.

“Hospitals using AI are seeing a real impact on reducing door-to-intervention times,” Fonarow said. “We’re in the process of analyzing outcomes across multiple centers, but early indications suggest that AI can play a vital role in decision support and care(NOT RECOVERY!) coordination.”

He added that AI has shown potential to improve care(NOT RECOVERY!) in many other ways.

"AI can be of assistance for clinician judgment and interpretation, but also provide more real-time prompts about where their care(NOT RECOVERY!) deviations and to help them intervene before that patient's missed that window for getting the right therapy at the right time at the right dose," he explained.

AHA now has a pilot program to review the use of AI stroke alert systems to see from a data standpoint it they are making a difference in outcomes. Fonarow said the goal is to look collectively beyond the single center data to make meaningful insights across stroke care(NOT RECOVERY!) at various centers.

Stroke teams are a model of interdisciplinary collaboration

Modern stroke care(NOT RECOVERY!) is defined by multidisciplinary collaboration. “It’s not just neurologists and cardiologists,” Fonarow said. “Emergency physicians, nurses, radiologists, neurointerventionalists, intensivists and rehabilitation teams all play essential roles.”

Fonarow says today’s stroke care(NOT RECOVERY!) teams are “teams of teams” supported by real-time data, shared learnings and a culture of continuous improvement. 

“Through Get With The Guidelines Stroke, we have national webinars, data sharing, and benchmarks that allow teams to learn what’s working elsewhere and adapt it locally,” he said.

Another trend to watch is the fact that cardiologists are playing a much more significant role in stroke care(NOT RECOVERY!), because many stroke patients have cardiac comorbidities or cardio-embolic sources of stroke. He said cardiologists bring valuable expertise in managing these risks and improving secondary prevention.

Wednesday, May 7, 2025

AI helps cardiologists terminate AFib for good with ablation

 So you can effectively discuss your Afib with your doctor. 

AI helps cardiologists terminate AFib for good with ablation

Artificial intelligence (AI) can improve atrial fibrillation (AFib) outcomes by providing real-time feedback during cardiac ablation procedures, according to new data presented at Heart Rhythm 2025, the Heart Rhythm Society’s annual meeting in San Diego.

The study’s focus was the effectiveness of DeePRISM, an advanced AI algorithm that helps cardiologists and electrophysiologists perform cardiac ablation in a way that maximizes the odds of achieving AFib termination. 

DeePRISM was trained using data from 110 patients who presented for ablation due to persistent AFib. When testing the AI model, researchers found that it helped clinicians achieve acute AFib termination in 40% of ablation patients. The group added that the AI was associated with improved two-year outcomes, including freedom from recurrent AFib in up to 70% of patients.

“With the introduction of the DeePRISM model, we are taking a significant step forward in the treatment of persistent atrial fibrillation,” Chih-Min Liu, MD, PhD, a researcher with Taipei Veterans General Hospital in Taiwan, said in a statement. “Our study shows that AI-driven, real-time analysis not only enhances the success of the procedure but also ensures patient safety, marking a promising advance in electrophysiology.”

Heart Rhythm 2025 continues a long tradition

Heart Rhythm 2025 is the 46th annual meeting of the Heart Rhythm Society, which has said it received more than 3,400 scientific abstracts ahead of the show. Nearly 10,000 attendees are expected, including cardiologists, electrophysiologists, researchers, device manufacturers and many others.

“With the significant increase in both data submissions and attendee registration, this year’s meeting will highlight scientific advancements, discoveries, and real-world insights that electrophysiologists can apply to their daily clinical practice,” HRS President Ken Ellenbogen, MD, director of clinical cardiac electrophysiology at VCU Health, said in a statement ahead of the conference.

The Heart Rhythm Society stayed busy leading up to the conference, publishing detailed recommendations on how to develop AFib Centers of Excellence and when to consider same-day discharge after cardiac ablation


Tuesday, May 6, 2025

AI in Stroke Treatment: Expert Insights from Henry Ford Health

 AI is almost completely worthless until the underlying research for 100% recovery is there!  You're putting the cart before the horse!

AI in Stroke Treatment: Expert Insights from Henry Ford Health

May is American Stroke Month. In this conversation, Aaron Lewandowski, M.D., emergency medicine physician and the emergency medicine stroke representative at Henry Ford West Bloomfield Hospital, and Alex Chebl, M.D., interventional neurologist and director of the Henry Ford Stroke Center and the Division of Vascular Neurology at Henry Ford Health, discuss how artificial intelligence (AI) is revolutionizing stroke care. From accelerating diagnoses and streamlining team communication, to significantly improving patient outcomes, this rapid advancement in AI technology isn’t just supporting doctors — it’s saving lives.



View Transcript
 

00:00:00:27 - 00:00:24:15
Tom Haederle
Welcome to Advancing Health. For stroke victims, speed and survival are closely linked. Quicker diagnosis and treatment can make a huge difference. Coming up in today's podcast, a look at how those two letters we hear more and more about in today's health care - A and I - artificial intelligence, are being applied to protocols for stroke treatment.

00:00:24:18 - 00:00:43:24
Tom Haederle
Hi everyone. I'm Tom Haederle, senior communication specialist with the American Hospital Association and pleased today to get to do one of my favorite parts of this job. And that's highlighting the amazing work that goes on every day among our member hospitals and health systems. And here's a great example: the integration of artificial intelligence into treatment protocols for stroke victims

00:00:43:24 - 00:01:08:11
Tom Haederle
at Detroit-based Henry Ford Health. Joining me from Henry Ford to talk about this are Dr. Aaron Lewandowski, an emergency medicine doctor and the emergency medicine stroke representative at Henry Ford West Bloomfield Hospital, and Doctor Alex Chebl, a vascular and interventional neurologist and director of the Henry Ford Stroke Center and the Division of Vascular Neurology. Doctors, thank you both for joining us on this Advancing Health podcast today.

00:01:08:11 - 00:01:09:08
Tom Haederle
Appreciate you being here.

00:01:09:09 - 00:01:10:07
Aaron Lewandowski, M.D.
Thanks for having us.

00:01:10:09 - 00:01:11:10
Alex Chebl, M.D.
Thank you for having me.

00:01:11:12 - 00:01:20:03
Tom Haederle
Dr. Lewandowski, let's start with you and a basic question: why is speed of diagnosis and treatment so critical when treating victims of a stroke?

00:01:20:05 - 00:01:40:23
Aaron Lewandowski, M.D.
There's a common saying in neurology and stroke care that time is brain. It is estimated that millions of neurons are irreplaceably lost each minute during an ischemic stroke. So the sooner that we are able to diagnose and treat a stroke, the more brain we're able to save and the patients are able to have a easier outcome and a better recovery.

00:01:40:25 - 00:01:45:28
Tom Haederle
And what exactly does AI lend to the process? How has it improved how we're doing this now?

00:01:46:00 - 00:02:12:10
Aaron Lewandowski, M.D.
AI has been used in multiple ways across medicine. In stroke care particularly, we're able to use it in helping with diagnosis of stroke in a timely manner. Our program specifically is called Rapid AI. It is a software program that allows for quicker diagnosis of strokes and also facilitates communication between physicians. Dr. Chebl was actually the physician that brought the idea to our stroke committee, and we've been using it for approximately two years.

00:02:12:12 - 00:02:23:19
Tom Haederle
Does it actually paint - and this is a question for both of you - does it paint a picture of what's going on inside the stroke victim inside the brain actually allow you to see something you couldn't see before. Dr. Chebl?

00:02:23:21 - 00:02:44:01
Alex Chebl, M.D.
It's not so much as paints a picture as gives you an exact picture of what's going on. So the challenge we have in stroke neurology, unlike, say, when a patient comes in with a heart attack, you know, a patient grabs a chest, they're having chest pain. You can do an EKG and a cardiologist emergency physician can know immediately where the problem is.

00:02:44:03 - 00:03:08:12
Alex Chebl, M.D.
The trouble in neurology, is that there are many different types of stroke. Some types of stroke are caused by bleeding into the brain. But the more common type of stroke and why we use AI most commonly is called a ischemic stroke where there's a blockage, and the treatment for those two types of stroke are exactly opposite. One causes the other, and so you have to know what type of stroke you're dealing with.

00:03:08:18 - 00:03:17:15
Alex Chebl, M.D.
And this is why it's more complicated. And knowing what's going on inside the brain with the arteries is critical. And this is where the AI helps us.

00:03:17:17 - 00:03:52:12
Aaron Lewandowski, M.D.
Particularly with ischemic strokes, the issue is trying to figure out what part of the brain has been affected by the stroke and also where the blood clot is. And, is it amenable to intervention? There's medicines such as TMK which we're able to use to try and break down the clot during an ischemic stroke. But particularly where I used it for our purposes is in the use of the thrombectomy procedure, which is where you're able to intervascularly go up into the brain and actually remove the clot that's causing the stroke if it's located in an appropriate and amenable position.

00:03:52:15 - 00:04:15:02
Aaron Lewandowski, M.D.
So the program serves multiple purposes. The AI portion of the program evaluates the CT angiogram and the CT perfusion studies of the patient looking for any asymmetry in blood vessel distribution or perfusion. This is able to allow us to quickly evaluate for signs of what we call a large vessel occlusion. Those are the types of strokes that are most amenable to the thrombectomy procedure.

00:04:15:04 - 00:04:24:03
Tom Haederle
How much time has the use of Rapid AI shaved off of the diagnosis and allowed you to figure out accurately what's happening?

00:04:24:06 - 00:04:51:18
Alex Chebl, M.D.
Approximately 30 minutes. When we look at patients who are candidates for mechanical thrombectomy, that's the procedure where we pull the clots from the brain. We've reduced our door-to-puncture time. That is, from the minute the patient arrives in the emergency department until we actually puncture the artery to get to the brain, we've been able to save about 30 minutes, bringing us down to within the 90 minute ideal window for that treatment.(90 minutes is NOT FAST ENOUGH!  I got it in 90 minutes and still had lots of damage because NOTHING WAS DONE TO STOP the neuronal cascade of death!

second point: 

In this research in mice the needed time frame for tPA delivery is 3 minutes for full recovery. What is your plan to accomplish that? Or are you ignoring that need?

Electrical 'storms' and 'flash floods' drown the brain after a stroke)

00:04:51:25 - 00:05:13:01
Alex Chebl, M.D.
But, just as importantly, it's also helped us with our door-to-needle time. So that balloon scan mentioned that you can also give the clot busting medication. That has to be given within 4.5 hours(Way too slow! Unless you have the protocols that stop the neuronal cascade of death saving hundreds of million to billions of neurons! Since you don't, your plans are a failure!). And so we've now are consistently able to treat patients instead of roughly within an hour presentation. We're now being able to treat almost all patients with 45 minutes.

00:05:13:01 - 00:05:19:16
Alex Chebl, M.D.
And we're approaching 30 minutes from door-to-needle. And every minute is essential in that effort.

00:05:19:18 - 00:05:22:27
Tom Haederle
That's really impressive. What's been the impact on patient outcomes?

00:05:23:04 - 00:05:44:13
Alex Chebl, M.D.
Tremendous patient outcomes. If you look nationally, but also at our sites, you look at the number of patients, proportion of patients who recover to normal or nearly normal has increased. If you look at the number of patients who are discharged to home rather than to rehab, a good measure of whether patients have disability, that has also increased.

00:05:44:15 - 00:05:58:13
Alex Chebl, M.D.
And nationally, the data clearly support, this overwhelmingly so, so that the American Heart Association, for example, keeps shortening the time metric, because the sooner we do it, we're getting better outcomes.

00:05:58:15 - 00:06:17:21
Tom Haederle
Really good news for patients. I'm wondering, given the size of Henry Ford, a big, big system you have. And I imagine that rolling out any new technology or software or changing how things are done, particularly across a scale like that, has got its challenges. Did you run into any kind of bureaucratic obstacles or resistance? We don't know what this thing is . . .

00:06:17:21 - 00:06:21:23
Tom Haederle
Prove it to us. Was it hard to sell, or not really?

00:06:21:26 - 00:06:45:08
Aaron Lewandowski, M.D.
What? Dr. Chebl first brought the idea to us at the West Bloomfield emergency Department, it was certainly interest in, you know, ways that we can improve our stroke care. I would say overall, we didn't really experience any significant barriers to implementing Rapid AI here at Henry Ford. I would say the hurdles that we faced were the standard hurdles you faced with integrating any new piece of software or technology into your preexisting hospital system.

00:06:45:10 - 00:07:23:24
Alex Chebl, M.D.
Yeah, I would second that. You know, there was some trepidation amongst some team members. You know, our implementation of Rapid AI, there's many different ways that you could implement such a program. One could be it just notifies the radiologist, "hey, there's a potential stroke. Take a look." We have gone to the exact or most extreme or the deepest implementation, meaning all members of the team are notified when we have a stroke, and this has minimized the number of phone calls we have to make to get the patient ready, to get the OR team ready, etc. and when you have that many people learning something new there can be some trepidation.

00:07:23:24 - 00:07:44:12
Alex Chebl, M.D.
And the biggest fear really was, why do I have to have another app? And this is just going to increase my workload, right? I'm going to be bothered all the time with these unnecessary things. And in fact, it's the exact opposite. Most people got used to it. They could not believe that they were living without it. It's made their lives better.

00:07:44:12 - 00:07:49:11
Alex Chebl, M.D.
Not just the patients lives better. It made all of our lives better because it's simplified the communication.

00:07:49:14 - 00:08:21:26
Aaron Lewandowski, M.D.
And I would certainly second that. From an emergency medicine perspective, a lot of our job on a day to day basis is discussing phone calls with consultants and trying to communicate with other team members. So being able to have that initial phone call with the stroke neurologist to discuss the initial plan of care, but then everything else being in the, HIPAA secure chat with rapid AI has certainly allowed for our communication to be much more effective and much more quicker so that everyone can see in real time what's going on, what's the plan?

00:08:21:26 - 00:08:23:14
Aaron Lewandowski, M.D.
What are we doing for the patient?

00:08:23:16 - 00:08:44:22
Tom Haederle
Yeah. You hear that so often about applications of AI and in almost any capacity, ambient listening or anything else. People are delighted. It's a time saver and a work saver. And you've seen that with the with the implementation of, Rapid AI at Henry Ford. Any thoughts you would share about another system or hospital that is considering going around and maybe integrating it for the first time?

00:08:44:25 - 00:08:50:24
Tom Haederle
What would you say in terms of it's utility, in terms of its ease of use, that kind of thing?

00:08:50:26 - 00:09:17:29
Alex Chebl, M.D.
Well, I mean, I think there's two aspects. One is you've got to lay the groundwork for this. You need a stroke champion, champions. Certainly someone from emergency department is critical. You need someone on the neurology side. And they need to then sell this to everyone. Once you've laid the groundwork and you've got buy-in from everyone

00:09:18:01 - 00:09:41:20
Alex Chebl, M.D.
the actual implementation isn't that difficult. Securing IT, and the firewalls, etc.. The company helped set up. They also have individuals who can come and help train users. How to use it, how to adjust the settings, etc.. So we found that it was pretty straightforward to initiate the Rapid AI in our system.

00:09:41:26 - 00:10:00:29
Alex Chebl, M.D.
And one way to do it, I guess, would be my suggestion would be don't start too big. You know, maybe start if you have a large system like we have, you know, start locally, 1 or 2 smaller hospitals. Don't include every single team member. Get the bugs worked out of the system and then expand.

00:10:01:01 - 00:10:21:13
Aaron Lewandowski, M.D.
And definitely when you're trying to, you know, sell the idea to administration or other departments, certainly focusing on the benefits to patient care, like quicker diagnosis and also the benefits to the team members, such as more effective communication. I think is a really good way to show the positive benefits that can come from this.

00:10:21:16 - 00:10:47:18
Alex Chebl, M.D.
You know, obviously we do everything focused on the patient. We want the best patient outcomes, but we can't deliver good health care without paying for everything that's required to do so. So the money does play a role. And I think this is where it's important for an administrator to understand is that the better the patient does, the shorter length of stay, the less money is spent on that patient.

00:10:47:22 - 00:11:02:22
Alex Chebl, M.D.
And therefore a health system can keep more of that money for the other services that they need. And I think that's very important. I mean, after all, this is why we were able to convince CMS to pay for these very complex treatments is because overall it ends up saving money.

00:11:02:24 - 00:11:09:23
Tom Haederle
It's a great point, thank you. As we wrap up, any final thoughts? Anything we haven't talked about that you'd like to say about Rapid AI?

00:11:09:26 - 00:11:35:20
Alex Chebl, M.D.
You know, these systems now? Although they're mostly started in stroke, there are many competitors, Rapid AI as well, but they have other modules. And so these systems can be used for other disease states, pulmonary embolism, the identification of intracranial hemorrhage, cerebral aneurysms. And so there are many opportunities for multiple different departments to collaborate. And that can also help with the financial aspects of this.

00:11:35:21 - 00:11:46:14
Alex Chebl, M.D.
You know, the more users you have on board, it tends to be, you know, cheaper than just having each individual division having their own systems working independently.

00:11:46:16 - 00:11:51:12
Tom Haederle
That's a great point, thank you. Thank you for bringing that up. Dr, Lewandowski, any final thoughts?

00:11:51:15 - 00:12:09:23
Aaron Lewandowski, M.D.
I've certainly enjoyed the implementation of Rapid AI. It makes my job simpler. It provides better patient care. You know, I don't think that AI will ever replace physician assessment and judgment, but it's very impressive what a powerful tool it can be when used appropriately, to improve the care that we provide to our patients.

:12:09:26 - 00:12:21:22
Tom Haederle
Absolutely. Thank you both so much for your time today and this great discussion. And I hope it reaches a lot of ears and get some people thinking about just how powerful this tool is. So again, appreciate your time. Thank you for being on Advancing Health.

00:12:21:25 - 00:12:22:15
Aaron Lewandowski, M.D.
Thank you very much.

00:12:22:20 - 00:12:25:05
Alex Chebl, M.D.
Thank you. Have a wonderful day.

00:12:25:07 - 00:12:33:18
Tom Haederle
Thanks for listening to Advancing Health. Please subscribe and rate us five stars on Apple Podcasts, Spotify, or wherever you get your podcasts.

Related Resources

Wednesday, April 23, 2025

Functional and Motoric Outcome of AI-Assisted Stroke Rehabilitation: A Meta-analysis of Randomized Controlled Trials

 AI is almost completely worthless until the underlying research for 100% recovery is there!  You're putting the cart before the horse!

Functional and Motoric Outcome of AI-Assisted Stroke Rehabilitation: A Meta-analysis of Randomized Controlled

, ,
https://doi.org/10.1016/j.dscb.2025.100224
Get rights and content
Under a Creative Commons license
Open access

Highlights

  • AI-assisted stroke rehabilitation shows promising outcomes in terms of functional and motoric outcomes.
  • Barthel and Motricity Index are used in this study.
  • Combination of VR and rehabilitation robots give the best result.
  • AI-assisted stroke rehabilitation is more feasible, personalized, cost-effective than the conventional method. (And just as bad in getting survivors fully recovered! Survivors make the decision as to effectiveness, your stroke medical 'professionals' have NO say in the matter!)
  • AI-assisted stroke rehabilitation encourages home-based care and improves treatment adherence.

Abstract

Introduction

Stroke is the primary contributor to disability worldwide, causing a high economic burden due to its morbidity. Due to the application of artificial intelligence (AI), stroke rehabilitation has been revolutionized, resulting in significant improvement. Implementing AI also enables home-based care, thus helping stroke patients who generally have ambulatory difficulties.

Methods

This research was a systematic review from Pubmed, ScienceDirect, and ProQuest, including randomized controlled trials (RCT) published from 2009 to 2024. Meta-analysis included seven studies discussing the functional and motoric outcomes of AI-assisted stroke rehabilitation.

Results

Six studies included post-stroke patients within 3 to 6 months after the stroke occurred. AI models used were varied, ranging from end-effector or exoskeleton robots to a combination of both and virtual reality (VR). Overall, the included studies had a low risk of bias. Standard mean differences (SMDs) of the Barthel Index and Motricity Index were 0.16 and 0.60. No significant difference between AI-assisted stroke rehabilitation and conventional stroke rehabilitation for both outcomes. Non-inferiority trials showed that the AI-assisted method was not inferior to the conventional method of stroke rehabilitation.

Discussion

Considering its feasibility, personalization, and flexible rehabilitation program, AI-assisted was non-inferior to the conventional method. A comprehensive guideline is needed to facilitate its usage in clinical practice.

Conclusion

AI-assisted stroke rehabilitation was not inferior to conventional stroke rehabilitation.
(So, also a complete failure of 10% full recovery like conventional?)

Thursday, April 17, 2025

Arm function after stroke - AI generated

 AI is almost completely worthless until the underlying research for 100% recovery is there! 

They should be able to point directly to the research underlying their recommendations and the efficacy of them.  But they won't know a damn thing other than a black box spit something out. All you're going to get is worthless guidelines, NOT ANYTHING SPECIFIC AT ALL!

Arm function after stroke - AI generated

ALAN SUNDERLAND, DEBORAH TINSON, LESLEY BRADLEY, RICHARD LANGTON HEWER From the Stroke/Neurological Rehabilitation Unit, Frenchay Hospital, Bristol, UK SUMMARY 
The value of strength of voluntary grip as an indicator of recovery of arm function was assessed by testing 38 recent stroke patients using a sensitive electronic dynamometer, and comparing the results with those from five other arm movement and function tests (Motricity Index, Motor Club Assessment, Nine Hole Peg Test, and Frenchay Arm Test). This procedure allowed measurement of grip in a large proportion of patients, and strength correlated highly with performance on the other tests. Measuring grip over a six month follow up period was a sensitive method of charting intrinsic neurological recovery. The presence of voluntary grip at one month indicates that there will be some functional recovery at six months. Progress in understanding recovery from stroke and assessing the impact of rehabilitation therapy has been limited by the lack of good measures of function. In this context a good measure is one which is reliable, valid and sufficiently sensitive to detect small changes in performance. Also, it should have a wide range of use capable of measuring mild as well as severe impairment. The ideal measure would meet these requirements yet only require a brief and simple assessment procedure. This would allow frequent monitoring to chart the course of recovery. In a previous study,' the available tests of arm function after stroke were reviewed. Four tests were assessed against the above criteria and these were the Frenchay Arm Test,2 the Nine Hole Peg Test,3 speed of finger tapping,4 and measurement of strength of grip. All four were found to be reliable and valid but they varied in their range of use and sensitivity to change. Of particular interest were the results for strength of the grip which showed that it was the best of these measures for detecting early recovery and was useful in predicting the final outcome. These results emerged despite the fact that a mechanical dynamometer was used which had limited sensitivity at the upper and Correspondence to: Dr Sunderland, Stroke/Neurological Rehabilitation Unit, Frenchay Hospital, Bristol BS 16 ILE, UK. Received 13 January 1989 and in revised form 29 March 1989. Accepted 6 April 1989 lower ends of the range of strength of grip. This paper reports the data collected using an electronic dynamometer with a much wider range of sensitivity. We aimed to investigate to what extent strength of grip meets the criteria of a good measure of recovery of arm function when measured with such an instrument. Measuring the grip strength of stroke patients has not been widely used as an assessment procedure and indeed has been rejected actively as a method within orthodox physiotherapy.56 This rejection has been motivated by two concerns. First, that measuring strength alone ignores the role of impaired co-ordina- tion of muscle groups in producing deficient motor performance. Second, it has been argued that because an increase in finger flexion is part of the spastic pattern which typically evolves after stroke,7 8 increased grip might indicate this spasticity rather than any improvement in muscle control. On the other hand there is ample evidence to show that weakness is one of the primary components of hemiplegia9 "' which improves with functional recovery.' This study investigated the relationship between grip strength, spasticity and functional recovery to discover whether in fact it may be a valuable marker of recovery in the typical stroke patient.

More at link.