The Human Cost of Algorithmic Mental Health Triage
The automation of mental health triage is creating significant safety risks for patients and increasing the burden on clinicians, sparking a legislative battle over the role of AI in healthcare.
AI in Healthcare
Applications of artificial intelligence in medicine and healthcare, including diagnostic imaging, clinical decision support, drug discovery, and the regulatory, ethical, and workforce implications of deploying AI in medical settings.
Reading List
AI vs. MD: Challenging an MRI Diagnosis with Opus 4.8
559
An author uses Opus 4.8 to analyze MRI files, uncovering a major discrepancy between a human doctor's diagnosis of a tendon tear and the AI's finding of an intact tendon.
Midjourney Medical: Revolutionizing Health via High-Tech Spas
1355
Midjourney is expanding into healthcare by combining advanced ultrasonic scanning technology with a global network of wellness spas to enable proactive health monitoring.
AI Carb Counting: A Dangerous Gamble for Insulin Dosing
243
AI models are too inconsistent and inaccurate to safely automate carbohydrate counting for insulin dosing in diabetes management.
AI-Driven Audit Secures OpenEMR Against 38 New Vulnerabilities
177
AISLE used autonomous AI analysis to discover and help patch 38 vulnerabilities in OpenEMR, establishing a new standard for proactive healthcare software security.
ChatGPT Health's Triage Failures Labeled 'Unbelievably Dangerous'
214
ChatGPT Health's failure to identify over half of medical emergencies and its inconsistent suicide guardrails pose a significant risk of preventable death to users.
Better Algorithms, Busier Radiologists
445
Better models are making radiologists busier, not redundant, because real-world performance, rules, and elastic demand favor human‑in‑the‑loop care.