AI In Healthcare: Results Over Hype

National AI expert provides vision of technology's future in the field and overview of the unique challenges ahead

Headlines about artificial intelligence often blare big promises and underscore the breakneck pace of this evolving technology.

Within the field of healthcare and medical research, the application of AI is likewise focused on the possibilities - only in a more measured approach. The marriage is solidly anchored in improving results for both patient and provider.

"I think there are a lot of conversations about AI replacing your doctor," said Casey Greene, PhD, a professor in the Department of Biomedical Informatics at the University of Colorado School of Medicine and a national expert on computational biology and artificial intelligence. "I think what gets me excited is not AI replacing your doctor. It's helping your doctor spend more time with you and less time in the chart."

Greene, also the founding director of the Center for Health AI, said that AI works well in healthcare because it integrates seamlessly into existing areas. "There's an opportunity to assess AI's reliability in the health sciences," Greene said. "After its reliability is proven, it can gain that trust with both providers and patients."

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