Why is AI adoption in health care lagging?
Avi Goldfarb and Florenta Teodoridis
Artificial intelligence (AI) technologies have improved rapidly over the past decade, largely driven by advances in machine learning, which is closely related to data science and statistical prediction. Several aspects of the health care system involve prediction, including diagnosis, treatment, administration, and operations. This connection between machine learning’s capabilities and needs of the health care system has led to widespread speculation that AI will have a large impact on health care.
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