NAM report: The success of healthcare AI depends on building consensus

Without shared ideas and goals regarding the use of artificial intelligence in healthcare, the technology is unlikely to ever reach its full life-saving, quality-improving potential, suggests a new report from the National Academy of Medicine.

In "Artificial Intelligence in Health Care: The Hope, the Hype, the Promise, the Peril," NAM members representing Baltimore-based Johns Hopkins University, Boston-based Harvard Medical School, OptumLabs and Epic, among many others, highlighted the need for greater caution and consensus-building before deploying AI to prevent "user disillusionment, another AI winter or further exacerbation of existing health- and technology-driven disparities."

"AI has the potential to revolutionize healthcare. However, as we move into a future supported by technology together, we must ensure high data quality standards, that equity and inclusivity are always prioritized, that transparency is use-case-specific, that new technologies are supported by appropriate and adequate education and training, and that all technologies are appropriately regulated and supported by specific and tailored legislation," NAM wrote in a Dec. 17 news release.

View the full report here.

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