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.
August 12, 2026
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Discover the newest research about AI innovations in ð Dermatology.
AI explanations help doctors but mislead patients
New research shows that explaining how medical AI works makes untrained users trust wrong answers, while doctors remain unaffected.
August 5, 2026
New Skin Cancer AI Beats Nineteen Dermatologists
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.
August 1, 2026
AI cuts unnecessary tests for rare skin cancer
A new deep learning tool could stop pathologists from ordering endless, defensive tests to rule out a mimic of common skin rashes.
July 30, 2026
AI reduces gender bias in skin cancer diagnosis
Dermatology algorithms are quietly biased against gender, but forcing them to look at actual skin lesions instead of demographic noise might finally fix the problem.
June 30, 2026
Bradford Teaching Hospitals Implements AI for Early Skin Cancer Detection
Bradford Teaching Hospitals uses AI for early skin cancer detection, improving diagnosis speed and reducing patient wait times. ðĨðŧ
May 11, 2026
The World Health Organization Skin Neglected Tropical Diseases App: A dynamic capacity building training tool enhanced with artificial intelligence.
WHO’s AI-Powered Skin NTDs App: 99.8% Sensitivity in Disease Detection! ðąð
May 9, 2026
AI Enhances Evaluation of Skin Lesions in Mastocytosis
AI aids in assessing skin lesions in mastocytosis, offering new insights into treatment effectiveness. ðĐšâĻ
April 22, 2026
Convolutional Neural Networks in Chronic Wound Segmentation and Tissue Classification Using Real-World Images.
AI in Chronic Wound Care: CNNs Achieve DSC of 0.927 ð, IoU of 0.868 for Segmentation! ðĐđ
April 19, 2026
Classification of Osteoporosis and Detection of Compression Fractures by Implementing Real-Time Object Detection System Upon Medical Radiographs.
AI in Osteoporosis Detection: YOLOv4 achieves 78.1% accuracy for osteoporosis classification and 68.3% for fractures. ððĶī
March 21, 2026