AI Can Drive Changes in Health Care but Won’t Replace Human Decision-Makers

The term "artificial intelligence" (AI), coined in 1956, is experiencing an unprecedented resurgence. A recent survey by Morgan Stanley Research revealed that 94% of healthcare companies integrate AI and machine learning to some extent, with the healthcare industry projecting an increase in budget allocation for these technologies from 5.7% in 2022 to 10.5% in 2024. Local healthcare and academia professionals shared insights on AI's role in aiding medical providers and emphasized crucial considerations. Rochester boasts VisualDx, a clinical decision support system adopted by over 2,300 global hospitals, clinics, and medical schools. At the UR Health Lab, interdisciplinary teams collaborate on tools and systems employing advanced machine learning and technology. RIT's Golisano College of Computing and Information Sciences, home to RIT's Personalized Healthcare Technology research center, acknowledges the potential of machine learning in healthcare but underscores its complementarity to physicians and their cognitive processes.