Chinese tuberculosis physicians outline explainability needs for clinical AI
A qualitative study of 26 tuberculosis physicians in Hubei Province, China, identified five priorities for explainable AI, including exclusionary and ...
A qualitative study of 26 tuberculosis physicians in Hubei Province, China, identified five priorities for explainable AI, including exclusionary and ...
A convenience survey of 185 Chinese endocrinologists and trainees found frequent reported AI exposure, interest in dedicated institutional tools and ...
A large-scale evaluation of five large language models found that drug recommendations collapse onto a single product in nearly every ...
Researchers report a feature-weighted, calibrated explainable AI framework that reached 91.07% accuracy on a cleaned heart disease dataset while exposing ...
A clinical decision support tool presented at ASN Kidney Week 2026 automates chronic kidney disease identification, risk classification, and guideline-based ...
A multimodal transformer-based AI framework achieved an AUC of 0.727 on preoperative endoscopic biopsy slides for predicting lymph node metastasis ...
A feasibility study of a large language model decision aid for juvenile idiopathic arthritis found high ratings for safety and ...
YOLOv11 performed best in a single-center comparison using augmented clinical photographs to detect and grade nipple injuries, but the study ...
DROID-RV estimated right-ventricular size and function from echocardiogram videos, while predictions in a primary-care cohort were associated with heart failure, ...
A narrative review of 53 studies finds that artificial intelligence can extract and analyze brain-tumor symptom data, but limited validation ...
© 2026 Scienmag - Science Magazine
© 2026 Scienmag - Science Magazine