At the same time concerns about uncritical adoption, need for guard rails “There is growing evidence that LLM-driven increases in scientific productivity often come at a cost.”
https://
nature.com/articles/d4158
6-026-01557-x
…
@erictopol
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Impact and risks of LLM-driven scientific productivity
By
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Multi-agent AI systems accelerate biomedical discovery and drug design
By
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A big day for multi-agent AI to accelerate biomedical discovery, hypothesis generation, designing experiments with proof points of new candidate drugs (cancer, fibrosis, macular degeneration, antimicrobial resistance, and more)
2 @Nature reports @GoogleDeepMind @FutureHouseSF -
ChatCPR AI Outperforms 911 Dispatchers in Simulation Study
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Now there's a ChatCPR that outperforms 911 dispatchers in simulation testing @JAMAInternalMed https://
jamanetwork.com/journals/jamai
nternalmedicine/fullarticle/2848650
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AI Model Predicts Alzheimer’s Outcomes from MRI and Demographics
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A single MRI + demographics + AI predicts current and future cognitive scores and outcomes for Alzheimer’s disease
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LLMs Detect Cancer Early in Health Records
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We could pick up risk of cancer and detect it much earlier if we applied LLMs to electronic health records, as shown in this @AllofUsResearch study
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AI detects osteoporosis from retinal images in new study
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Our retina image is so rich with information, a gateway to the whole body, well beyond the eye. Today add osteoporosis to the list. https://
journals.plos.org/digitalhealth/
article?id=10.1371/journal.pdig.0001360&utm_source=pr&utm_medium=email&utm_campaign=plos006
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This adds to what I recently wrote about at Ground Truths https://
erictopol.substack.com/p/the-paradox-
of-medical-ai-implementation
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Multimodal AI outperforms physicians in simulated study
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A multimodal AI (AIME) had superior performance compared with 18 physicians for almost every metric (29 of 32 axes). Randomized, but simulated, not real-world clinical practice. @GoogleDeepMind @alan_karthi @RyutaroTanno https://
nature.com/articles/s4159
1-026-04371-0
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LLMs’ Uncertainty in Medical AI Debate
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Expressing uncertainty is a major weak spot of LLMs in medicine @NEJM "Can AI Say I Don't Know?"
Good lines: "Contemporary LLMs have passed many
Turing tests, but will they pass this modern test of not knowing? We don’t know." https://
nejm.org/doi/full/10.10
56/NEJMp2517624?query=WB
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AI summaries reduce physician burnout in hospitals
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Agentic AI summaries of hospitalizations were safe and reduced data clerk burden, burnout, and improved sense of well-being for physicians in a prospective study
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AI’s Extensive Impact on Surgical Workflows
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The impact of AI for surgery (pre-op, intraop, post-op) is going to be extensive
A new review https://
frontiersin.org/journals/scien
ce/articles/10.3389/fsci.2026.1783803/full
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Our previous review @NatureMedicine https://
nature.com/articles/s4159
1-024-02970-3
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