Affiliation:
1. University of North Carolina at Chapel Hill
Abstract
As a biomedical data scientist, when I think of the future of artificial intelligence in health care, the potential fills me with both excitement and caution. A promising area of innovation, AI can be used to assess the impact of social determinants of health on health outcomes, though more standardization is needed.
Publisher
North Carolina Institute of Medicine
Reference16 articles.
1. Optimizing patient outcomes in emergency cardiac care through advances in technology: nurse scientists in action;J. K. Zègre-Hemsey;J Emerg Nurs,2020
2. Prehospital activation of hospital resources (PREACT) st-segment–elevation myocardial infarction (STEMI): a standardized approach to prehospital activation and direct to the catheterization laboratory for STEMI recommendations from the American Heart Association’s Mission: Lifeline Program;M. C. Kontos;J Am Heart Assoc,2020
3. Multimodal fusion of echocardiography and electronic health records for the detection of cardiac amyloidosis;Z. Feng;arXiv preprint,2024
4. Rapid Acceleration of Diagnostics Radical (RADx-rad): Overview and Update;S Tara,2020
5. NIH Long COVID Computational Challenge (L3C);National Institutes of Health (NIH);Challenge.gov