Artificial intelligence (AI) and its promise of early detection, targeted therapy, and ubiquitous access to recommendations could well be the linchpin to the “revolutionary change” described in the National Research Council report on Computational Technology for Effective Healthcare more than a decade ago.1 Artificial and augmented intelligence methods enhance the utility of data for making predictions using more variables collected across more settings and continually updating these predictions with new data.2 The enthusiasm with which data scientists and predictive analytics companies—from large, well-established companies to startups—have embraced the application of AI in health care has resulted in a plethora of algorithms and new commercial products. Intense pressure is being placed on health care systems to implement them.
Lindsell CJ, Stead WW, Johnson KB. Action-Informed Artificial Intelligence—Matching the Algorithm to the Problem. JAMA. 2020;323(21):2141–2142. doi:10.1001/jama.2020.5035
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