In healthcare, organizations manage vast amounts of clinical data, yet many struggle to extract meaningful insights with existing methods, which often fall short in compliance-driven environments. While generative AI is emerging, its use in clinical settings can lead to dangerous errors, such as hallucinations, which can produce incorrect or misleading information. Healthcare professionals need AI solutions that deliver clinical insights without the risks associated with generative models.

This session will guide attendees on using Azure's AI capabilities to extract, analyze, and apply insights from both patient and non-patient data, such as clinical studies and treatment guidelines, without relying on generative AI.

We’ll start by introducing the core AI concepts for healthcare, focusing on non-generative models that ensure compliance and reliability.

Next, we’ll demonstrate how to use Azure's AI services to securely analyze clinical data, whether patient data or research studies.

Finally, we’ll cover practical steps for integrating Azure AI into existing healthcare systems, building solutions that provide insights while maintaining compliance and security.

Attendees will leave with a clear understanding of how to apply AI to clinical data on Azure without using generative models, equipped with strategies for implementing compliant AI solutions that enhance data-driven decisions in healthcare.