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.
NHS Bets Big On AI Voice Tech
NHS England is deploying ambient voice technology to 70,000 clinicians in its largest regional rollout yet, testing whether AI can finally solve the healthcare system's administrative crisis.
AI ECG detects hidden structural heart disease
A new composite AI model can spot structural heart disease from a standard ECG before symptoms even appear, but its real value lies in predicting future risk.
AI groups blood pressure data to predict risk
A new machine learning model proves that how your blood pressure fluctuates over 24 hours is far more dangerous than a single high reading at the clinic.