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

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.

Artificial Intelligence and Digital Divide in Physiotherapy Education

“…As far as education is concerned, the fact that AI is likely to be more integrated into in-service delivery means that education must consider AI's contribution to the implementation of care. In this respect, professionals will need to be trained to integrate AI better to improve the accuracy of diagnosis, treatment, and monitoring, enable data-driven decision-making, identify patterns and trends, and support evidence-based decision-making [ 2 ]. On the other hand, AI will revolutionize the way education itself is delivered, offering personalized and adaptive learning experiences and enabling educators to adapt curriculum content and training methods in response to emerging healthcare advancements [ 3 ].…”

Healthcare assessment for beauty centers using hybrid sentiment analysis

“…, and ‫تافه‬ ‫,كلش‬ respectively. Sentiment analysis is either done on a document level or on a sentence level [34]- [37].…”

Trends in artificial intelligence in nursing: Impacts on nursing management

“…Tang et al (2021) figured out that AI can be used in education for analysis, prediction, guidance, assessment and adaptive learning. Azzi et al (2020) and Seibert et al (2021) further noted that in healthcare, AI may assist in disease assessment, diagnosis and prognosis.…”