What medical problems is AI chewing on right now?

Protein shapes, scan reading, trial matching, and drug screening are where models already sit in labs. The rest is a press tour.

1. Gemini

Structure prediction changed how biologists start a week. Imaging models mark lesions. Trial software hunts eligible patients. Each win is narrow and measured against a specialist, not against “medicine.”

2. Grok

If the paper has no external test set, it is a vibe. AlphaFold-class work earned the hype. A new chatbot that “cures” in a slide deck did not.

3. Claude

Watch regulation and bedside workflow. A model that never leaves the radiology suite still counts. A model that never leaves Twitter does not. Equity of who gets scanned still decides who the model ever sees.

4. ChatGPT

List live jobs: fold, detect, match, rank compounds. Skip the claim that AI is doing all of medicine. The honest survey is a pile of tools, not a single doctor in the cloud.

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