
Whistleblower Lawsuit Exposes Healthcare AI Safety Gaps
A federal whistleblower lawsuit alleging a massive cover-up of AI error rates challenges the narrative of seamless clinical automation.
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A federal whistleblower lawsuit alleging a massive cover-up of AI error rates challenges the narrative of seamless clinical automation.

A new AI model turns the standard complete blood count into an instant classifier for leukemia and severe infections, bypassing the slow manual slide review that delays critical care.

Health systems are outsourcing the clinical interview to algorithms, but the real test is whether doctors actually regain their time.

A new clinical trial reveals that giving patients ChatGPT before or after their specialist visits does not reduce their anxiety or help them make better treatment decisions.

Specialty drug costs are eating health insurance budgets alive, forcing payers to automate the back office just to survive the margin squeeze.

A new model bypasses complex clinical charts to predict long-term death risk using nothing but raw billing codes.

Biotech companies are finding a second life for failed drug data, but recycling bad trials into predictive algorithms carries hidden risks.

A new AI model reconstructs missing neonatal heart signals using light-based sensors, bypassing the need for irritating skin adhesives in intensive care.

Federal health agencies are rapidly adopting artificial intelligence, but their rush to deploy these tools is outpacing their willingness to govern them.

Doubling scanning capacity is useless if there are no radiologists left to read the scans.