JASON: Artificial Intelligence for Health Care
The field of artificial intelligence is habitually susceptible to exaggerated claims and expectations. But when it comes to new applications in health care, some of those claims may prove to be valid, says a new report from the JASON scientific advisory panel.
“Overall, JASON finds that AI is beginning to play a growing role in transformative changes now underway in both health and health care, in and out of the clinical setting.”
“One can imagine a day where people could, for instance, 1) use their cell phone to check their own cancer or heart disease biomarker levels weekly to understand their own personal baseline and trends, or 2) ask a partner to take a cell-phone-based HIV test before a sexual encounter.”
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The JASON report was requested and sponsored by the U.S. Department of Health and Human Services. See Artificial Intelligence for Health and Health Care, JSR-17-Task-002, December 2017.
Benefits aside, there are new opportunities for deception and scams, the report said.
“There is potential for the proliferation of misinformation that could cause harm or impede the adoption of AI applications for health. Websites, apps, and companies have already emerged that appear questionable based on information available.”
Fundamentally, the JASONs said, the future of AI in health care depends on access to private health data.
“The availability of and access to high quality data is critical in the development and ultimate implementation of AI applications. The existence of some such data has already proven its value in providing opportunities for the development of AI applications in medical imaging.”
“A major initiative is just beginning in the U.S. to collect a massive amount of individual health data, including social behavioral information. This is a ten year, $1.5B National Institutes of Health (NIH) Precision Medicine Initiative (PMI) project called All of Us Research Program. The goal is to develop a 1,000,000 person-plus cohort of individuals across the country willing to share their biology, lifestyle, and environment data for the purpose of research.”
But all such efforts raise knotty questions of data security and personal privacy.
“PMI has recognized from the start of this initiative that no amount of de-identification (anonymization) of the data will guarantee the privacy protection of the participants.”
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