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