
Patient Perspectives on Medical AI: Insights from a Global Study
Global study reveals patient attitudes toward medical AI. 57.6% view it positively, but health status influences acceptance. ๐ค๐
Discover the newest research about AI innovations in ๐ง Digital Therapeutics.
Global study reveals patient attitudes toward medical AI. 57.6% view it positively, but health status influences acceptance. ๐ค๐
Machine learning predicts cancer patient mortality dynamics, revealing three clinical patterns and key lab parameters. ๐๐ก
Digital cognitive assessments reveal modest practice effects, impacting response times in cognitive monitoring. Key findings from DANA study. ๐๐ง
Exploring NPM1-mutated AML: MRD detection methods, AI’s role, and challenges in clinical integration. ๐งฌ๐ฌ
New AI tools from Penn enhance kidney disease treatment by analyzing cellular data for personalized therapies. ๐งฌ๐
AI aids in designing nanoparticles for RNA vaccine delivery, enhancing efficiency and potential treatments for various diseases. ๐งฌ๐
Lung lobe segmentation tools evaluated: TotalSegmentator excels, while data diversity enhances model accuracy. ๐๐ซ
AI model enhances diaphragm function in elderly patients, achieving 92.3% accuracy. Significant implications for critical care interventions. ๐ค๐ก
NHS’s 10-Year Health Strategy aims for digital transformation, enhancing patient care and operational efficiency. ๐๐ป
Advancements in artificial pancreas technology aim to enhance diabetes management through full automation and AI integration. ๐ค๐