Discover the newest research about AI innovations in 🖼️ Computer Vision.
A new AI model predicts kidney cancer survival better than the gold-standard human grading system.
A new deep learning pipeline strips private patient details from medical scans without erasing critical clinical notes.
A new clinical model outperforms specialists in diagnosing skin cancer, but its hidden failure modes reveal why deploying diagnostic AI remains a high-stakes gamble.
A new deep learning tool could stop pathologists from ordering endless, defensive tests to rule out a mimic of common skin rashes.
A massive screening study reveals that chest X-ray AI can flag lung tumors before human radiologists, but its real value lies in how we manage the noise it creates.
The flood of FDA-approved radiology AI is hitting a wall of clinical rejection because developers forgot a basic rule of medicine: do not disrupt the workflow.
A new AI model extracts metabolic risk data directly from routine heart ultrasounds, bypassing the need for expensive CT scans.
Hospitals face a multi-million dollar dilemma: upgrade aging imaging hardware or accept degraded scan quality.
A new foundation model breaks open the black box of medical imaging by forcing AI to show its work through clinical concepts.
A new multimodal AI model bridges the clinical expertise gap in dentistry by matching the diagnostic accuracy of mid-level practitioners.
