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Open AccessReview

Healthcare Applications of Artificial Intelligence and Analytics: A Review and Proposed Framework

1
Department of Informatics and Engineering, Université du Québec en Outaouais, 101, rue Saint-Jean-Bosco, Gatineau, QC J8X 3X7, Canada
2
Department of Administrative Sciences, Université du Québec en Outaouais, 101, rue Saint-Jean-Bosco, Gatineau, QC J8X 3X7, Canada
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Sprott School of Business, Carleton University, 810 Dunton Tower 1125 Colonel By Drive Ottawa, ON K1S 5B6, Canada
4
Telfer School of Management, University of Ottawa, 55 Laurier Avenue East Ottawa, ON K1N 6N5, Canada
*
Author to whom correspondence should be addressed.
Appl. Sci. 2020, 10(18), 6553; https://doi.org/10.3390/app10186553
Received: 18 August 2020 / Revised: 14 September 2020 / Accepted: 17 September 2020 / Published: 19 September 2020
Healthcare is considered as one of the most promising application areas for artificial intelligence and analytics (AIA) just after the emergence of the latter. AI combined to analytics technologies is increasingly changing medical practice and healthcare in an impressive way using efficient algorithms from various branches of information technology (IT). Indeed, numerous works are published every year in several universities and innovation centers worldwide, but there are concerns about progress in their effective success. There are growing examples of AIA being implemented in healthcare with promising results. This review paper summarizes the past 5 years of healthcare applications of AIA, across different techniques and medical specialties, and discusses the current issues and challenges, related to this revolutionary technology. A total of 24,782 articles were identified. The aim of this paper is to provide the research community with the necessary background to push this field even further and propose a framework that will help integrate diverse AIA technologies around patient needs in various healthcare contexts, especially for chronic care patients, who present the most complex comorbidities and care needs. View Full-Text
Keywords: artificial intelligence; big data; data mining; healthcare; ontologies; smart homes artificial intelligence; big data; data mining; healthcare; ontologies; smart homes
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MDPI and ACS Style

Azzi, S.; Gagnon, S.; Ramirez, A.; Richards, G. Healthcare Applications of Artificial Intelligence and Analytics: A Review and Proposed Framework. Appl. Sci. 2020, 10, 6553. https://doi.org/10.3390/app10186553

AMA Style

Azzi S, Gagnon S, Ramirez A, Richards G. Healthcare Applications of Artificial Intelligence and Analytics: A Review and Proposed Framework. Applied Sciences. 2020; 10(18):6553. https://doi.org/10.3390/app10186553

Chicago/Turabian Style

Azzi, Sabrina; Gagnon, Stéphane; Ramirez, Alex; Richards, Gregory. 2020. "Healthcare Applications of Artificial Intelligence and Analytics: A Review and Proposed Framework" Appl. Sci. 10, no. 18: 6553. https://doi.org/10.3390/app10186553

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