Machine Learning for MDs by Sarah Gebauer, MD
Sarah Gebauer, MDCrucial Concepts in Healthcare AI
| Platform |  | Pricing | Only free issues | Publishes | Weekly |
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| Issues | 81 | Founded | 3 years ago | Last Issue | a month ago |
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sarahgebauermd.substack.comLatest Issues
Why Your Inbox Is Suddenly Full of AI Annotation Requests
If you’re a physician, you’ve probably noticed something new in your Linkedin or inbox lately. Suddenly tons of companies want you to label medical images, review AI outputs, or “contribute your expertise” to training datasets. Meta, Mercor...
What If Insurance Actually Made Healthcare AI Safer?
What If Insurance Actually Made Healthcare AI Safer?
In Part 1, I walked through how a single AI failure can trigger claims across three insurance domains that were never designed to overlap: product liability, professional liability, a...
Healthcare AI and the Convergence of Liability
If you’ve practiced medicine for any length of time, you’ve developed an intuitive understanding of how liability works in your world. You carry malpractice insurance. The devices you use are covered by the manufacturer’s product liability...
Why Single Benchmarks Fail: The Case for Evaluation Suites
Article 4: Why Testing AI Once Isn’t Enough
No single test tells you everything you need to know. This holds true whether you’re evaluating a student who does great on written exams but can’t figure out which way to turn the stopcock in...
Three Metrics for Healthcare AI Evaluation You Need to Know
Article 3: The Metrics That Matter (And The Ones That Don’t)
Researchers recently evaluated 32 different performance measures used to validate AI models for healthcare, and concluded that most of them are fundamentally misleading or inco...
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Authors
The writers behind this newsletter.
Physician passionate about physician leadership at the intersection of ML/AI and healthcare
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