Research and Reviews : Journal of Computational Biology Review Article
Role of Artificial Intelligence in Health Care Decision Making: Balancing Innovation and Caution
Abstract
Healthcare is undergoing a transformation powered by artificial intelligence, which improves monitoring, diagnosis, and treatment capabilities. Among Artificial Intelligence (AI's) shortcomings is the dearth of an emotional relationship between individuals and medical personnel. Robotic surgery procedures pose the possibility of malfunctioning machinery and mistaken assumptions. So, the present systematic review focused on exploring the boon and bane of the role of AI in predicting various abnormalities in advance to improve primary preventive measures and lower the risk of recurrent events. PRISMA guidelines 2020 have been followed for this systematic review. PubMed and Google Scholar databases are used for literature search by using Boolean words ‘Artificial Intelligence’, ‘and’, ‘Health care’, ‘free full text’. A total of 73,090 records were found on the electronic databases: PubMed and Google Scholar. By following PRISMA guidelines, 59 articles were taken into consideration. Each article has been read by all the three reviewers, and finally, 14 articles were mutually selected to assess the role of AI as a boon or bane in health care decision making. AI in healthcare has the potential to enhance clinical trials, healthcare decision-making, and medical diagnosis; however, biases as well as personalization need to be resolved. Scientific funding, teamwork, as well as cybersecurity approaches are all needed for appropriate deployment. Building trust, educating patients, and adhering to ethical standards are also crucial.
Keywords
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