How can people move from a less healthy state to a healthier one? This is a challenging and complex scientific question—so challenging and complex that we believe artificial intelligence (AI) may provide a way to better understand it.
AI, which encompasses many methods such as modern machine learning, offers potential solutions to complex challenges in biomedical and behavioral research, including questions of great interest to the National Center for Complementary and Integrative Health (NCCIH) regarding whole person health and salutogenesis—the process by which individuals move from a less healthy to a healthier state. The National Institutes of Health (NIH) Common Fund Bridge to Artificial Intelligence (Bridge2AI) program will propel biomedical and behavioral research forward by setting the stage for widespread adoption of AI that tackles complex biomedical challenges beyond human intuition. By building deeper connections between the fields of data and computer science and biomedical research, we can better define, build, and leverage multidimensional datasets to answer pressing health research questions. At the recent Integrative Medicine & Health Symposium hosted by the Academic Consortium for Integrative Medicine & Health, we hosted a session that looked at salutogenesis and the interest in exploring it through AI. At the session, NCCIH Director Dr. Helene Langevin discussed "The Potential of Using Artificial Intelligence To Solve the Puzzle of Salutogenesis" and others detailed the Bridge2AI program, which NCCIH is co-leading.
The video of the session is now available on YouTube. |
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