
Skin lesion AI misses its uncertainty targets
A new benchmark reveals that even calibrated image-recognition models struggle to safely hand off difficult skin cancer cases to human specialists.
Discover the newest research about AI innovations in 🖼️ Computer Vision.

A new benchmark reveals that even calibrated image-recognition models struggle to safely hand off difficult skin cancer cases to human specialists.

A new regulatory fast-track for cancer software signals a major shift in how medical AI will evolve after entering the clinic.

A new artificial intelligence model can classify gastric biopsies and predict lymph node spread, significantly cutting pathologist workloads without sacrificing accuracy.

A new study reveals that while AI easily spots prostate cancer across different imaging hardware, the actual grading of those tumors falls apart depending on which scanner a hospital uses.

Automating ultrasound analysis could finally break the bottleneck in breast cancer screening.

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.