Language model diagnoses sleep disorders using stage sequences
By analyzing the grammar of sleep stages rather than raw brainwaves, a new AI bypasses the need for expensive clinical hardware.
AI Software Extends Life of Hospital CT Scanners
Hospitals face a multi-million dollar dilemma: upgrade aging imaging hardware or accept degraded scan quality.
AI predicts rapid knee pain without MRIs
A new machine learning model proves we do not need expensive imaging or complex protein tracking to find patients whose knee pain will soon spike.
Medicare Ties AI Reimbursement to Patient Outcomes
A new federal payment model is forcing digital health companies to prove their tools actually heal patients, not just log clinical hours.
CLEAR: an auditable foundation model for radiology grounded in clinical concepts
A new foundation model breaks open the black box of medical imaging by forcing AI to show its work through clinical concepts.
Why European Healthcare Is Dumping Legacy Software
A £30 million funding round reveals how private healthcare is bypassing broken public infrastructure to survive.
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.