Abstract
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.
Highlights
The founding father of artificial intelligence (AI), Alan Turing, has defined this discipline as “the science and engineering of making machines, especially intelligent computer programs” [1].Programs which enable computers to mimic human cognitive functions are called artificial intelligence systems
AI combined with analytics (AIA) is increasingly adopted in many sectors, including healthcare
We focus the review on five relevant technologies integrating AIA: data mining; ontologies, semantic reasoning, and ontology-extended clinical guidelines; clinical decision support systems; smart home; medical big data
Summary
The founding father of artificial intelligence (AI), Alan Turing, has defined this discipline as “the science and engineering of making machines, especially intelligent computer programs” [1]. Programs which enable computers to mimic human cognitive functions are called artificial intelligence systems. AI combined with analytics (AIA) is increasingly adopted in many sectors, including healthcare. Medicine was one of the most effective use of Analytics and today a promising application area for AI. Research already started in the mid-20th century and applications were developed and proposed to clinicians to assist them in their practice. These applications include clinical decision support system, automated surgery, patient monitoring and assistance, management of healthcare, etc
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