AI in Healthcare
AI diagnostics, drug discovery, clinical decision support, medical imaging, mental health chatbots, and the promise and peril of applying AI to human health — where the stakes of getting it wrong are measured in lives.
FDA Clears AI Sepsis Monitor, But the Data Trail Doesn't End at Discharge
Bayesian Health's 510(k) clearance is real — the question of who owns the continuous monitoring data it generates is not yet answered.
- ·FDA 510(k) clearance for Bayesian Health's sepsis monitor is the first ever granted for continuous AI sepsis monitoring.
- ·Regulatory clearance certifies clinical function — it does not govern how patient monitoring data is stored, shared, or monetized after discharge.
- ·The healthcare AI conversation has already shifted from 'will regulators approve this' to 'who owns what these tools collect.'
AI in Healthcare Earns Patient Distrust Before It Earns Patient Data
Patients are refusing AI in the exam room before clinical deployment debates have resolved — putting adoption timelines under real pressure.
Clinical AI Hits the Gatekeeping Wall
r/medicine's removal of two AI tool pitches reveals that healthcare professionals are treating access itself as the contested terrain, not the technology's merits.
Healthcare AI Is Replicating the Inequities It Promised to Correct
Pathology AI trained on biased datasets reproduces those disparities at scale, making the tools most trusted by clinicians the ones most likely to harm underrepresented patients.
Healthcare AI's Loudest Week Is Splitting Along a Hidden Fault
The tools physicians are adopting fastest — scribes, not robots — are being degraded by the same AI infrastructure they run alongside.