Signals shaping
health AI.
A focused stream of research, industry developments and ideas selected for people building the future of health.
Research and developments, with a clear point of view.
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.
Exploring mHealth app usage among stroke caregivers: 57.2% adoption, key factors include education, age,...
Trends, Innovations, and Future Care for Chronic Conditions in Latinos: A Report From the 2024 Latino Primary Care Summit.
Chronic conditions in Latinos: barriers, innovations, and future care strategies discussed at the 2024...
Artificial Intelligence and Radiogenomics for Pediatric CNS Neoplasms.
AI & Radiogenomics in Pediatric CNS Tumors: 2021 WHO guidelines enhance diagnosis via molecular...
Polyp image segmentation based on parallel dilated convolution and dual attention mechanisms.
Revolutionary 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.
New 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.
ChatGPT in rehabilitation medicine: promising yet limited. Key challenges include inconsistent performance and ethical...
Rare disease education in medical schools: patient-centered and innovative strategies.
Rare 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.
AI 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.
Exploring intelligent sensing: Machine learning meets hydrogels & ionogels for health monitoring and beyond!...