AI predicts liver cancer treatments using medical notes
A new AI model proves that the messy, unformatted text in patient charts is actually the most valuable tool for choosing liver cancer therapies.
Finding Chronic Lung Disease in Existing Data
Reusing existing patient data can catch chronic lung disease long before patients end up in the emergency room.
AI predicts safer opioid doses after surgery
A new AI model separates what doctors cannot change from what they can, offering a blueprint for safer postoperative prescribing.
The Neurology AI Report — August 2026
Towards neuromorphic neurotechnologies: integrating brain-inspired computing with brain-computer interfaces
Insurance Shifts Early Cancer Screening to Employers
As cancer costs threaten to balloon by a third, insurers are bypassing traditional clinics to put advanced screening directly into the workplace.
Large Language Models Generate Stigmatizing Language During Reasoning Over Real-World Clinical Data
Large language models trained to think through clinical decisions are actively generating and amplifying biased language that could compromise patient care.
Patients now write their own emergency care plans
Giving patients direct control over their digital care plans shifts the power dynamic in emergency medicine, but its success hinges entirely on system-wide integration.
Smartphones screen children for autism using eye tracking
A new smartphone eye-tracking tool could bypass long clinic waitlists by screening children for autism at home.