⚖️ AI Ethics
Every article we have published: research summaries, product thinking and developments in health AI.
⚖️ AI Ethics · 661 articles
Explainable AI Improves Diagnostic Accuracy in Brain Scans
Ignoring correct AI advice hurts diagnostic accuracy more than trusting wrong recommendations, but adding visual annotations helps clinicians make better calls.
AI Generated Protein Candidates Fail to Create Antivenom
Drafting target-binding molecules in hours does not bypass the physical lab work required to create a functional drug.
New Checklist Finds Public Imaging Datasets Often Unusable
Public medical imaging datasets frequently lack the basic technical features needed to train artificial intelligence models.
Abu Dhabi Regulates Autonomous Clinical AI Deployment
Abu Dhabi has released a regulatory framework establishing formal authorization pathways for AI systems performing direct clinical tasks.
Generative AI Forgeries Fool Experts and Automated Detectors
Peer reviewers can no longer reliably spot fake biomedical images, exposing a critical vulnerability in scientific publishing.
Adversarial AI easily manipulates expert physician decisions
Conversational AI can quietly steer experienced doctors into making dangerous medical mistakes without raising suspicion.
AI Discharge Summaries Cut Physician Cognitive Fatigue
Pre-drafted clinical documentation saves barely three minutes per note, but it meaningfully reduces physician burnout.
Patients using AI trust their doctors more
Instead of replacing doctors, generative AI is turning patients into more cooperative and trusting partners in the exam room.
AI Prior Authorization Pilot Sparks Patient Care Crisis
A Medicare pilot designed to curb wasteful spending is instead stranding patients in pain due to misaligned financial incentives and technical failures.
AI recommendations can degrade dental diagnostic accuracy
Visual AI alerts do not make dentists more accurate, and they can actually coax less-experienced clinicians into agreeing with incorrect software predictions.
Also on LinkedIn
AI Health Hub posts the same research summaries on LinkedIn every day. More than 3,000 people follow it there.