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
Follow us
latest articles
Discover the newest research about AI innovations in ð Dermatology.
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
Feasibility of Depth-in-Color En Face Optical Coherence Tomography for Colorectal Polyp Classification Using Ensemble Learning and Score-Level Fusion.
Innovative OCT technique achieves 90% accuracy in colorectal polyp classification. Promising for clinical applications! ððŽ
January 19, 2026
WSSM: A Weakly Supervised Oral Mucosal Disease Segmentation Model Based on Multi-Task Collaboration.
Innovative WSSM model enhances oral mucosal disease segmentation accuracy by 6.06% using multi-task collaboration. ððĶ·
January 14, 2026
Artificial Intelligence-Assisted Automated DNA Ploidy Analysis of Oral Lesions From Fanconi Anemia Patients With DNA Karyometry.
AI-Enhanced DNA Analysis Boosts Oral Lesion Detection in Fanconi Anemia: 84% Sensitivity Achieved! ðð§Ž
January 9, 2026
Deep learning with refined single candidate optimizer for early polyp detection.
Revolutionary deep learning model enhances early polyp detection in colonoscopy, improving accuracy and precision significantly! ðð
November 19, 2025
Artificial Intelligence in melanoma research: a bibliometric analysis.
AI’s Role in Melanoma Research: 1,476 Studies Analyzed ððĪ
November 12, 2025