Health

STAT+: Why this former ER doc thinks giving AI less information is sometimes better

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Based on a feed excerpt; full article content has not been acquired. Source evidence retrieved 11/11/2026, 22:06:25 UTC.

Briefings

Former ER physician STAT+ argues that reducing AI input data can improve clinical decision-making. The article highlights upcoming interviews with executives from Novartis, Johnson & Johnson, and Epic at the HLTH conference, where the author will discuss recent heart drug failures and their implications for AI in drug discovery. The author plans to interview Aneesh Chopra, Brendan Keeler, Antonia Papajani, and Seth Howard regarding AI's role in healthcare.

Key points

• STAT+ author plans to interview executives from Novartis, Johnson & Johnson, and Epic at the HLTH conference to discuss AI's role in healthcare.
• Recent heart drug failures are being analyzed to understand their impact on AI in drug discovery and clinical AI landscape.

Context

STAT+ author is preparing for a HLTH conference interview where they will discuss recent heart drug failures and their implications for AI in drug discovery, interviewing executives from major pharmaceutical and tech companies.

Limitations

The article focuses on upcoming interviews at the HLTH conference and recent heart drug failures. Specific details about the drug failures, interview outcomes, or future AI developments are not provided in the source evidence.

Generated by Bittrees-hosted qwen35-2b sha256:aaf42c8b7c3c on 12/11/2026, 02:54:10 UTC. Based on publisher-provided feed evidence; may not cover the full original article. Check the source for details.

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