Large language models (LLMs) are increasingly applied in clinical contexts; however, to our knowledge, their performance in acute kidney injury (AKI) has not been directly compared with physician performance on standardized clinical knowledge assessm... read more
Traditional multimodal flexible sensors struggle with system integration, limited node scalability, and overall robustness, posing multiple critical challenges. Inspired by the tiger-shark scalp, we present BDMFS, a robust bionic distributed multimod... read more
OBJECTIVES: To evaluate the association between the cancer detectability by artificial intelligence (AI) and long-term survival outcomes in invasive breast cancer. MATERIALS AND METHODS: This retrospective study analyzed consecutive women diagnosed w... read more
Linagliptin, a DPP-4 inhibitor commonly used in the management of diabetes mellitus, has shown potential activity in polycystic ovary syndrome (PCOS). Linagliptin's therapeutic effectiveness is limited by its poor membrane permeability and low oral b... read more
Where and when should a robot look during interaction with humans? Intuitively, human-human interaction serves as the blueprint. In such interactions, gaze plays a central role, both in visually guiding action and in signaling communication. Yet, mos... read more
Polymer-drug conjugates (PDCs) represent a remarkable advancement in modern medicine, leveraging the physicochemical properties of polymers to enhance the efficacy and safety of therapeutic agents. This comprehensive review explores the historical ev... read more
BACKGROUND: Accurate and timely early warning of seasonal influenza epidemics continues to pose a critical public health challenge. Innovative methodologies leveraging network data sources, such as internet search queries, serve as a valuable complem... read more
Stay Ahead of Medical AI
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.