
Hybrid novice-AI system achieves expert-level performance in intraoperative ischemia detection
Pairing untrained staff with artificial intelligence could solve the specialist shortage in operating rooms.
Discover the newest research about AI innovations in 🧠Neuroscience.

Pairing untrained staff with artificial intelligence could solve the specialist shortage in operating rooms.

A simple anatomical marker combined with machine learning could change how clinicians predict long-term recovery after a severe brain bleed.

By analyzing continuous vital signs in the air, machine learning can identify traumatic brain injuries before the helicopter even lands.

Measuring a single protein has been the gold standard for tracking ALS, but a new multi-protein signature suggests we have been missing the bigger biological picture.

A new nine-protein blood signature outperforms traditional clinical models and single-marker tests in predicting how fast ALS progresses.

Deep learning models trained to spot Alzheimer’s disease are systematically blind to atypical forms of brain decay, raising doubts about their readiness for real-world clinics.

The battle for AI supremacy has moved from chatbots to wet labs, and Anthropic is spending heavily to challenge Google’s dominance in drug discovery.

A simple scalp EEG could soon prevent patients from undergoing failed brain surgery for severe OCD.

A new brain-computer interface does more than bypass spinal cord injuries; it might actually help heal them.

A new computational platform pinpointed compact brain targets to help surgeons stop drug-resistant seizures.