Frost & Sullivan's Venkat Rajan says the concept of artificial intelligence (AI) in healthcare has "moved from nascency and pilots and proof of concepts, to more early-stage commercialization, adoption, and utilization."
Rajan says rising healthcare costs and growing data volumes are driving industry interest in AI, and he notes "a lot of early [AI] solutions, are...able to take large volumes of data, put it through levels of processing that can allow some level of relevancy to crop up to support decision making, and influence the course of care."
The goal is for AIs to stay updated on all aspects of every patient's visit to each specialist or hospital, along with each relevant new piece of research, disease outbreak, and public health recommendation.
Not only must the AI absorb all of that information, it also must account for patient symptoms and then recommend a diagnosis or course of treatment that factors in all of those elements. The use of pattern recognition to identify patients at risk of developing a condition, or exacerbating it because of lifestyle or other variables, is another healthcare area in which AI will be applied.
Meanwhile, future AI systems' natural-language processing abilities could potentially be applied to advising patients on health management.
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