Empowering patients and healthcare organizations through Azure AI Services
The session “Empowering patients and healthcare organizations through Azure AI Services” presented at the Boston Healthcare User Group.
Yesterday I had the honor to present a Microsoft Learn Live session along with Einat Gruda Idelovitch and my fellow Microsoft Learn Student Ambassador Nihal Dias on LearnTV. The session “Using scenarios and language understanding in Azure Health Bot” was the second part of the 4-part Microsoft Reactor Azure Health Bot Learn Live series and is now available on Channel9.
Azure Health Bot enables users to build a health bot by using built-in or custom scenarios. In this 4-part series we will explore different learning paths that will guide you through the creation of both a basic and enhanced health bot. You’ll learn about language understanding and how to use both built-in and template scenarios.
In Session 2: Using scenarios and language understanding in Azure Health Bot, we will be covering the below learning modules:
Language understanding plays a fundamental role in the working of Azure Health Bot. You will:
Azure Health Bot supports many built-in scenarios. Examples include triaging a medical condition, finding information about a disease or types of drugs, and getting user consent. In this module, you will:
Learn how to enrich the capabilities of your bot by using the prebuilt scenario templates. You will:
In this 4-part “Microsoft Azure Health Bot” Learn Live series, we will explore the new Microsoft Learn learning path Create intelligent health bots with Azure Health Bot that produced in partnership with Microsoft Learn Student Ambassadors and the Microsoft Health Bot Product Group.
Azure Health Bot enables users to build a health bot by using built-in or custom scenarios. The information that each instance of the Health Bot service handles is privacy protected to HIPAA standards. It also meets Microsoft’s high standards for privacy and security.
The modules in this Learning path guide you through the creation of both a basic and enhanced health bot. You’ll learn about language understanding and how to use both built-in and template scenarios.
The session “Empowering patients and healthcare organizations through Azure AI Services” presented at the Boston Healthcare User Group.
In this article, you will learn how to author a custom scenario for mental health screening in Azure Health Bot and create a language model.
In this article, you will build your first intelligent, AI-powered, medical chatbot using Azure Health Bot.
In this tutorial, you will create a classification model for chronic kidney disease prediction in Azure Machine Learning Designer.