CONSUMER HEALTH APPLICATIONS, MACHINE LEARNING,
AND SYSTEMS NEUROSCIENCE: THE USE OF ARTIFICIAL INTELLIGENCE ALGORITHMS IN CLINICAL MEDICINE AND HEALTHCARE DELIVERY
CONSUMER HEALTH APPLICATIONS, MACHINE LEARNING,
AND SYSTEMS NEUROSCIENCE: THE USE OF ARTIFICIAL INTELLIGENCE ALGORITHMS IN CLINICAL MEDICINE AND HEALTHCARE DELIVERY
Author(s): Adrian Gill-CoxSubject(s): Neuropsychology, Health and medicine and law
Published by: Addleton Academic Publishers
Keywords: consumer health application; machine learning; systems neuroscience;
Summary/Abstract: I draw on a substantial body of theoretical and empirical research on the employment of artificial intelligence algorithms in clinical medicine and healthcare delivery, and using data from CBS News by SSRS of Media, PA, OECD, StatLink, and STI Micro-data Lab, I performed analyses and made estimates regarding the artificial intelligence healthcare startups by segment and founding period and top ten medical technologies combined with artificial intelligence. The empirical analysis given in this article shows that machine learning enables mobile applications to network with patients in remarkably captivating manners to reinforce therapeutic compliance.
Journal: American Journal of Medical Research
- Issue Year: 5/2018
- Issue No: 2
- Page Range: 46-51
- Page Count: 6
- Language: English
- Content File-PDF
