Currently, the most common roles for AI in medical settings are clinical support and imaging analysis. Clinical decision support tools help providers make decisions about treatments, medications, mental health, and other patient needs by providing them with quick access to information or research that's relevant to their patient. In medical imaging, AI tools are being used to analyze CT scans, x-rays, MRIs and other images for lesions or other findings that a human radiologist might miss. Continue reading from IBM
From transportation to service provision, Artificial Intelligence (AI) has showcased science and technology's development over the years, especially with the implementation of AI in healthcare. Continue reading from Open Access Government
Artificial Intelligence at the NIH (National Institutes of Health)
AI in Medicine (New England Journal of Medicine)
What Artificial Intelligence Means for Healthcare (JAMA Network)
No AI Can Learn the Art of Medicine (TIME)
AI in Clinical Research (Forbes)
A Bioethicist and a Professor of Medicine on Regulating AI in Healthcare (The Economist)
Yale Researchers Investigate the Future of AI in Healthcare (Yale Daily News)