2.6 | AI and Machine Learning in Medicine: Emerging Issues and FDA Regulations | Medical Software Course episode artwork

EPISODE · Sep 4, 2026 · 8 MIN

2.6 | AI and Machine Learning in Medicine: Emerging Issues and FDA Regulations | Medical Software Course

from YaleCourses · host YaleCourses

In this lesson, we dive into the exciting yet complex world of artificial intelligence and machine learning in medicine. We explore the foundational role of vast, high-quality data in AI's success, alongside the unique regulatory challenges posed by self-updating AI algorithms in medical software.🎯 Learning Objectives• Explain the role of deep learning in the current excitement around AI/ML.• Identify the critical importance of data (clean, annotated, diverse) for AI/ML model training.• Discuss the regulatory challenges posed by adaptive AI/ML software in medical devices.• Outline the FDA's proposed frameworks and initiatives, like the Precertification Program, for regulating AI/ML medical software. Learn more about your ad choices. Visit megaphone.fm/adchoices

Episode metadata supplied by the publisher feed · Published Sep 4, 2026

Embed this episode

Ready to play

2.6 | AI and Machine Learning in Medicine: Emerging Issues and FDA Regulations | Medical Software Course

0:00 8:14

No transcript for this episode yet

We transcribe on demand. Request one and we'll notify you when it's ready — usually under 10 minutes.

No similar episodes found.

No similar podcasts found.

Frequently Asked Questions

How long is this episode of YaleCourses?

This episode is 8 minutes long.

When was this YaleCourses episode published?

This episode was published on September 4, 2026.

Can I download this YaleCourses episode?

Yes. Use the download control on the episode player to save the publisher-provided media file.
URL copied to clipboard!