Latest reporting
Latest in Opinion & Analysis
Why Healthcare AI Predictions Mean Nothing Without Proof They Actually Helped Patients
A new framework argues that measuring AI accuracy misses the point—what matters is tracking whether recommendations translate into completed actions and better outcomes.
Why Healthcare AI Keeps Failing Patients: The Hidden Architecture Problem No One Is Talking About
A solution architect argues the real barrier to effective healthcare AI isn't data volume—it's the inability to distinguish current operational truth from historical transaction noise.
Physician AI Use Doubles in Three Years, But Trust Hinges on Performance Over Transparency
As 81% of doctors now deploy AI tools clinically, new evidence suggests consistent outcomes—not explainability—may be the real driver of confidence in algorithmic decision support.
Why Independent Researchers Are Finally Putting Medical AI to the Test—And What They're Finding
As third-party studies replace vendor claims, a new picture emerges of which AI systems actually perform best in clinical settings.
Medicine's Reckoning: Why Leading Bioethicists Now Predict Doctors Will Lose to AI Within Four Years
A provocative JAMA perspective argues autonomous AI will outperform physicians—even those using AI assistance—on core diagnostic and treatment tasks by 2030, as millions of Americans already bypass doctors for ChatGPT medical advice.
The New AI Healthcare Playbook: Why Success Now Hinges on Plumbing, Not Brainpower
Three July 2026 breakthroughs reveal that winning in healthcare AI requires mastering data access, regulatory shortcuts, and workflow infrastructure—not just building smarter models.
Acclaimed Author Confronts OpenAI Leadership Over AI's Threat to Critical Thinking and Professional Skill Development
Dave Eggers' stark warning to ChatGPT creators about educational harm raises urgent questions for healthcare AI adoption in medical training programs.
What Healthcare AI Can Learn From Vertical AI in Construction
The health AI industry's most durable companies will be those that go deepest in a single clinical domain — not the ones that build the most general-purpose platform. The success of vertical AI in adjacent industries offers a clear template.
Europe's Clinical AI Market Faces a Reckoning as U.S. Platforms Pull Back
OpenEvidence's termination of access for UK and EU clinicians is not an isolated business decision — it reflects a deeper structural challenge facing European healthcare systems that have become dependent on U.S.-developed AI tools without building equivalent domestic capabilities.
The Network Is the New Bottleneck for Healthcare AI Infrastructure
The rapid deployment of clinical AI at the point of care is revealing a new constraint: the hospital data center and network infrastructure required to support real-time AI inference at scale. This analysis examines why infrastructure is the next frontier of the health AI buildout.