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Journal Article
AI in Healthcare: Less Hype, Better Data
2019
Overview
The popular perception of artificial intelligence (AI) in healthcare can be gleaned by searching any stock art website: a gleaming white robot brandishing a stethoscope or a physician waving her arms in front of an icon-rich virtual heads-up display. AI and machine learning algorithms can allow device replacement and repairs to be scheduled according to actual needs instead of general timetables based on industry trends, and AI-based predictive tools could give HTM professionals the ability to determine, for example, when it would be more cost effective for a device to be on a service contract. The company Zingbox already is providing healthcare facilities with Internet of Things security solutions by first gaining an accurate picture of connected assets within their overall device inventories, and then using AI algorithms to automatically \"learn\" the normal behaviors of individual devices and monitor those devices for abnormal activity.
Publisher
Association for the Advancement of Medical Instrumentation, AAMI
