ABSTRACT. This article reviews and advances existing literature concerning the advancement of artificial intelligence-based technologies in medicine. Using and replicating data from McKinsey & Co., PwC, Statista, and YouGov/Trustmarque, I performed analyses and made estimates regarding business functions in which artificial intelligence has been adopted (by industry), digitized organizations’ adoption of artificial intelligence capabilities, core artificial intelligence practices in place at organizations, consumer attitudes towards connected and wearable healthcare devices, and global digital health market by major segment.

Keywords: big data; machine learning; medicine; patient care; clinical practice

How to cite: Sion, Grațiela (2019). “Big Data and Machine Learning in Medicine: Enhancing the Quality of Patient Care in Clinical Practice,” American Journal of Medical Research 6(1): 54–59. doi:10.22381/AJMR6120199

Received 8 December 2018 • Received in revised form 7 March 2019
Accepted 14 March 2019 • Available online 5 April 2019

Grațiela Sion
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Spiru Haret University, Bucharest, Romania

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