Azure.Health.Insights.RadiologyInsights 1.0.0

Azure Cognitive Services Health Insights RadiologyInsights client library for .NET

Health Insights is an Azure Applied AI Service built with the Azure Cognitive Services Framework, that leverages multiple Cognitive Services, Healthcare API services and other Azure resources.

Radiology Insights is a model that aims to provide quality checks as feedback on errors and inconsistencies (mismatches) and ensures critical findings are identified and communicated using the full context of the report. Follow-up recommendations and clinical findings with measurements (sizes) documented by the radiologist are also identified.

Source code | Package (NuGet) | API reference documentation | Product documentation | Samples

Getting started

Prerequisites

• You need an Azure subscription to use this package.
• An existing Cognitive Services Health Insights instance.

Install the package

Install the Azure Health Insights client Radiology Insights library for .NET with NuGet:

dotnet add package Azure.Health.Insights.RadiologyInsights

This table shows the relationship between SDK versions and supported API versions of the service:

Authenticate the client

You can find the endpoint for your Health Insights service resource using the Azure Portal or Azure CLI

# Get the endpoint for the Health Insights service resource
az cognitiveservices account show --name "resource-name" --resource-group "resource-group-name" --query "properties.endpoint"

Create RadiologyInsightsClient using Azure Active Directory authentication

You can also create a RadiologyInsightsClient using Azure Active Directory (AAD) authentication. Your user or service principal must be assigned the "Cognitive Services Language Reader" role. Using the DefaultAzureCredential you can authenticate a service using Managed Identity or a service principal, authenticate as a developer working on an application, and more all without changing code.

Before you can use the DefaultAzureCredential, or any credential type from Azure.Identity, you'll first need to install the Azure.Identity package.

To use DefaultAzureCredential with a client ID and secret, you'll need to set the AZURE_TENANT_ID, AZURE_CLIENT_ID, and AZURE_CLIENT_SECRET environment variables; alternatively, you can pass those values to the ClientSecretCredential also in Azure.Identity.

Make sure you use the right namespace for DefaultAzureCredential at the top of your source file:

using Azure.Identity;

Then you can create an instance of DefaultAzureCredential and pass it to a new instance of your client:

Uri endpointUri = new Uri(endpoint);
TokenCredential cred = new DefaultAzureCredential();
RadiologyInsightsClient client = new RadiologyInsightsClient(endpointUri, cred);

Key concepts

Once you've initialized a RadiologyInsightsClient, you can use it to analyse document text by displaying inferences found within the text.

• Age Mismatch
• Laterality Discrepancy
• Sex Mismatch
• Complete Order Discrepancy
• Limited Order Discrepancy
• Finding
• Critical Result
• Follow-up Recommendation
• Communication
• Radiology Procedure

Radiology Insights currently supports one document from one patient. Please take a look here for more detailed information about the inferences this service produces.

Examples

For each inference samples are available showing how to retrieve the extracted information either synchronously or asynchronously. Examples on how to create a client, a request and retrieve the results are avaible in the samples folder.

• Working samples: samples folder.

Troubleshooting

Setting up console logging

The simplest way to see the logs is to enable the console logging. To create an Azure SDK log listener that outputs messages to console use the AzureEventSourceListener.CreateConsoleLogger method.

// Setup a listener to monitor logged events.
using AzureEventSourceListener listener = AzureEventSourceListener.CreateConsoleLogger();

To learn more about other logging mechanisms see Diagnostics Samples.

Next steps

Additional documentation

For more extensive documentation on Azure Health Insights Radiology Insights, see the Radiology Insights documentation on learn.microsoft.com.

Contributing

This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit cla.microsoft.com.

When you submit a pull request, a CLA-bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., label, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.

This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.