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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.

Keywords: consumer health application; machine learning; systems neuroscience

How to cite: Gill-Cox, Adrian (2018). “Consumer Health Applications, Machine Learning, and Systems Neuroscience: The Use of Artificial Intelligence Algorithms in Clinical Medicine and Healthcare Delivery,” American Journal of Medical Research 5(2): 46–51.

Received 3 April 2018 • Received in revised form 18 July 2018
Accepted 19 July 2018 • Available online 2 August 2018

doi:10.22381/AJMR5220186

ADRIAN GILL-COX
This email address is being protected from spambots. You need JavaScript enabled to view it.
The Labor Center for Economic and
Public Policy at AAER, Stockholm

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