Interpretable Machine Learning Models for Analyzing Determinants Affecting the Use of mHealth Apps Among Family Caregivers of Patients With Stroke in Chinese Communities: Cross-Sectional Survey Study.
November 25, 2025Exploring mHealth app usage among stroke caregivers: 57.2% adoption, key factors include education, age, and motivation. 📱🧠
Trends, Innovations, and Future Care for Chronic Conditions in Latinos: A Report From the 2024 Latino Primary Care Summit.
November 25, 2025Chronic conditions in Latinos: barriers, innovations, and future care strategies discussed at the 2024 Latino Primary Care Summit. 🌍💉
Artificial Intelligence and Radiogenomics for Pediatric CNS Neoplasms.
November 23, 2025AI & Radiogenomics in Pediatric CNS Tumors: 2021 WHO guidelines enhance diagnosis via molecular profiling. Promising future ahead! 🧠✨
Polyp image segmentation based on parallel dilated convolution and dual attention mechanisms.
November 23, 2025Revolutionary polyp segmentation model MSFNet achieves 0.892 Dice score, enhancing early colorectal cancer detection. 📊🔍
Methodology for the Development of the Allergic Rhinitis and Its Impact on Asthma (ARIA)-EAACI 2024-2025 Guidelines: From Evidence-to-Decision Frameworks to Digitalised Shared Decision-Making Algorithms.
November 23, 2025New ARIA-EAACI 2024-2025 guidelines utilize AI and EtD frameworks for allergic rhinitis management. 📊🤖
Evaluating the role of ChatGPT in rehabilitation medicine: a narrative review.
November 22, 2025ChatGPT in rehabilitation medicine: promising yet limited. Key challenges include inconsistent performance and ethical concerns. 🤖⚖️
Rare disease education in medical schools: patient-centered and innovative strategies.
November 22, 2025Rare diseases affect 300 million globally. Medical education must adapt to improve care. 📚💉
Global trends and hotspots in AI applications for CT detection of chronic obstructive pulmonary disease: A bibliometric analysis from 2012 to 2024.
November 22, 2025AI in CT Detection of COPD: 189 Publications, 37.83% Growth 📈🌍
Intelligent Sensing: The Emerging Integration of Machine Learning and Soft Sensors Based on Hydrogels and Ionogels.
November 21, 2025Exploring intelligent sensing: Machine learning meets hydrogels & ionogels for health monitoring and beyond! 🤖💧