Insights and Innovations in Healthcare AI Solutions
The Scaffolding Problem: Why Raw AI Fails at Clinical Trial Matching
Most AI clinical trial matchers ask patients five or six questions — age, gender, disease,...
The Unsexy Problem That Could Break Healthcare AI
For 37 years, Charlie Harp has been telling healthcare organizations they have a data quality...
A Tragedy in One Word (and Two Languages)
The gap nobody checks for Every hospital has language access. Interpreters show up for appointments....
What Happens When Your Healthcare AI Framework Meets the Real World?
We've spent 24 episodes of Practical AI in Healthcare building a way of thinking about...
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...
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...
The Definitional Chaos Hiding Under Real-World Evidence
In 2008, about five companies sold access to real-world healthcare data. Today, that number exceeds...
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...
