Patient Involvement Essential for Effective Digital Health Services, According to The King’s Fund
Patient involvement is crucial for effective digital health services. The King’s Fund emphasizes meaningful engagement to address unmet needs. 🏥💻
European ILD registry algorithm for self-assessment in interstitial lung diseases (eurILDreg ASA-ILD).
New e-health tools enhance ILD monitoring. 📱 Early detection through spirometry and oximetry improves patient outcomes. 🌬️
Quantification of training-induced alterations in body composition via automated machine learning analysis of MRI images in the thigh region: A pilot study in young females.
This study highlights the role of machine learning in assessing body composition changes after strength training in young females. 🏋️♀️📊
Improving clinical efficiency using retrieval-augmented generation in urologic oncology: A guideline-enhanced artificial intelligence approach.
Exploring AI's role in urologic oncology efficiency. 🤖📈 Reviewed: Collin H et al.'s insightful study on innovative approaches.
Students perspectives on the development and deployment of an AI-enabled service robot in long-term care.
AI robots in long-term care can enhance companionship for older adults. Students see potential but note ethical challenges. 🤖❤️
Strategies for Gaining C-Suite Support for AI in Healthcare
C-Suite support for AI in healthcare is crucial. A structured approach like SBAR can enhance communication and address concerns. 🤝💡
The Social Construction of Categorical Data: Mixed Methods Approach to Assessing Data Features in Publicly Available Datasets.
Exploring the impact of categorical data on machine learning in healthcare. 📊🤖 Insights from a recent PubMed article.
Comparative analysis of machine learning approaches for predicting the risk of vaginal laxity.
This study reviews machine learning models predicting vaginal laxity risk in women, enhancing pelvic floor health. 🤖💪
Pusan National University Hospital’s AI for Lung Nodules Approved in Korea
Pusan National University Hospital's AI for lung nodules has received approval in Korea. 🏥🤖 This advancement may enhance early detection.
Artificial intelligence meets venous thromboembolism: informaticians’ insights on diagnosis, prevention, and management.
Exploring AI's role in diagnosing and managing venous thromboembolism. Insights from Gupta et al. highlight significant advancements. 🩺🤖