Practical AI in Healthcare

Dr. Robert Wachter, UCSF's chief of the Division of Hospital Medicine, poses for a portrait and speaks with chief residents Dr. Myung Ko and Sam Brondfield on Tuesday, May 9, 2017, at UCSF's Parnassus campus. (Photo by Noah Berger)
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The EHR Was Just the Scaffolding: Bob Wachter on Why AI in Healthcare Is Different This Time

Bob Wachter has seen this movie before. As Chair of Medicine at UCSF, he watched...
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When Language Reveals What’s Coming: AI-Enabled Early Detection of Psychosis

The warning signs of psychosis can appear years—sometimes decades—before a first episode. Kids show up...
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When 25% of Diagnoses Are Wrong: AI Takes on Rare Pediatric Cancers

Pediatric sarcomas are rare enough that even expert pathologists might see a particular subtype only...
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The Translation Problem Nobody Talks About

Every hospital stay generates a staggering amount of data. Lab results, vital signs, imaging reports,...
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Autonomous AI in Healthcare: What Six Years of Real-World Deployment Taught Us

When the FDA approved the first autonomous AI diagnostic system in 2018, it marked a...
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Scientific Paper Slop: How AI Is Forcing Publishing to Rethink Research Integrity

The machinery that protects scientific quality was built for a world with friction. It took...
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The Legal Reality of AI in Healthcare: Risk, Liability, Privacy, and What Happens Before Regulation Arrives

AI in healthcare is moving faster than most legal and operational frameworks. That gap creates...
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At the Inflection Point: What Practical AI in Healthcare Is Teaching Us Right Now

Healthcare is once again at a moment of profound transition. Roughly every few decades, a...
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Rethinking Clinical Decision Support: Insights from Dr. Adam Rodman on the Future of AI in Healthcare

Artificial intelligence is reshaping healthcare at a pace few anticipated—but according to Dr. Adam Rodman...
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Rushing Headlong Part II: Bright Future Ahead & Avoiding Past Mistakes

Building for the Future: Dr. S. Yin Ho on Responsible AI and the Next Era...