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Enthusiasm for embracing augmented intelligence (AI) technology that can be applied to an array of areas in health care, such as evidence-based clinical decision support for diagnosis and treatment, is tempered with caution by memories of the disastrous rapid rollout of electronic health records.

This has resulted in an urgency to “do it right, from the start,” said Michael Abramoff, MD, PhD, a professor of ophthalmology at the University of Iowa.

“AI has enormous potential for lowering cost, improving access and improving quality,” he added. “But many have justified—and some unjustified—concerns about AI in health care such as patient safety, AI bias, job loss, ethics and loss of privacy.”