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

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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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