Dental AI matches general practitioners in clinical tests
A new multimodal AI model bridges the clinical expertise gap in dentistry by matching the diagnostic accuracy of mid-level practitioners.
AI Agents Target Healthcare Credentialing Bottlenecks
Automating insurance enrollment could solve one of medicine's most expensive waiting games, but AI agents must first prove they can handle the regulatory minefield.
AI spots critically ill children at hospital triage
Standard hospital triage routinely misjudges how fast sick children need a doctor, but a new neural network proves we can catch them at the front door.
AI speeds up scans but bottlenecks remain
Deploying AI to halve diagnostic wait times is a massive win, but it risks creating a dangerous bottleneck further down the care pathway.
Nine blood proteins predict ALS survival rates
A new nine-protein blood signature outperforms traditional clinical models and single-marker tests in predicting how fast ALS progresses.
Betting on FDA Approvals Sparks Ethical Outcry
Treating drug development like a sports book introduces financial incentives that could compromise scientific integrity.
AI agents beat static databases in kidney care
Adding medical guidelines to an AI does not make it a better doctor, but teaching it to argue with itself does.
Retinal Implants Move From Lab to Market
A new commercial retinal implant challenges the boundary between biological sight and digital translation, forcing healthcare to rethink how we treat blindness.
AI co-learning cuts medical record labeling costs
A new human-AI framework shows that the best way to clean up messy electronic health records is to let algorithms and doctors correct each other.
The Validation Crisis
As clinical AI transitions to active decision-making, a wave of validation failures and self-overestimation is forcing healthcare buyers to inherit the entire burden of real-world model safety.