Characterizing immune cell profiles of patients with rheumatoid arthritis in Taiwan using artificial intelligence-based cytometric approaches.
January 4, 2026AI identifies 16 immune cell subsets in rheumatoid arthritis with 100% sensitivity and specificity. Key findings on immune responses. 🧬🔬
Large Language Model-Based Virtual Patient Systems for History-Taking in Medical Education: Comprehensive Systematic Review.
January 4, 2026Exploring LLMs in Medical Education: 39 studies reveal strong performance but limited multimorbidity representation. 📊🤖
Developing ultrasound-based machine learning models for accurate differentiation between sclerosing adenosis and invasive ductal carcinoma.
January 3, 2026Machine learning enhances ultrasound accuracy in distinguishing sclerosing adenosis from invasive ductal carcinoma. 📊🔍
The Application of Mobile Health in Self-Management Among Patients Undergoing Dialysis: Scoping Review.
January 3, 2026Mobile health enhances dialysis self-management, focusing on diet, medication, and psychological support. 📱💉 Key findings from 34 studies.
Improving Community-Based Care for Adolescents with ADHD: a Randomized Controlled Trial of Artificial Intelligence-Assisted Fidelity Supports.
January 3, 2026AI in ADHD Care: Study shows efficiency gains but potential quality trade-offs in therapy delivery. 🤖📉
Health Tech Suppliers Share Insights for 2026
January 2, 2026Health tech suppliers predict significant advancements in NHS technology by 2026, focusing on AI integration, patient-centered care, and improved data management. 🏥💻
Bibliometric analysis of trends, innovations, and the future of CBT-based mobile interventions for depression.
January 2, 2026📈 CBT Mobile Interventions: 350 studies, 72 trials, AI integration, and global trends in depression treatment. 📱
Predictions for Digital Health Innovations in 2026
January 2, 2026Digital health innovations are expected to advance significantly by 2026, focusing on AI, data integration, and patient care improvements. 📈💻
A full-automated tumor budding annotation approach in hematoxylin and eosin-stained whole slide images of colorectal cancer.
January 2, 2026Automated tumor budding annotation in colorectal cancer shows AUCs up to 0.988 and average grading time of 21 seconds. 📊🩺