
AI vs. MD: Challenging an MRI Diagnosis with Opus 4.8
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.
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.

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 is expanding into healthcare by combining advanced ultrasonic scanning technology with a global network of wellness spas to enable proactive health monitoring.
AI models are too inconsistent and inaccurate to safely automate carbohydrate counting for insulin dosing in diabetes management.

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 failure to identify over half of medical emergencies and its inconsistent suicide guardrails pose a significant risk of preventable death to users.

Better models are making radiologists busier, not redundant, because real-world performance, rules, and elastic demand favor human‑in‑the‑loop care.