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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.
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...
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...
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...
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. 🏥🤖...
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....
ADL+: A Digital Toolkit for Multidomain Cognitive, Physical, and Nutritional Interventions to Prevent Cognitive Decline in Community-Dwelling Older Adults.
Exploring the ADL+ toolkit: a promising approach to enhance cognitive function and quality of...
AI Technology Reduces Session Note Completion Time in Telepsychiatry
AI technology is streamlining session note completion in telepsychiatry, reducing time by 23% and...
Musicians and researchers: two creative professions striving to improve heart health through music.
Musicians and researchers unite to enhance heart health through music therapy. 🎶❤️ Explore their...
Interpretable Machine Learning Model for Predicting Postpartum Depression: Retrospective Study.
A recent study developed a machine learning model to predict postpartum depression, highlighting key...