吴艳妮为F1冲刺赛颁奖

Pancreatic cancer requires nuanced, multidisciplinary treatment planning typically conducted within tumor boards. While Large Language Models (LLMs) have shown capabilities in medical reasoning, their ability to approximate complex, integrative decision-making in oncology remains underexplored.

Health of people with obesity is a global concern. We developed an explainable sequential deep learning model using nationally representative physical fitness data to predict people with obesity and to identify the most influential predictors.

To evaluate the diagnostic performance of commercial veterinary radiology AI platforms on general practice canine abdominal radiographs with confirmed diagnoses.