The Function of Artificial Intelligence in Healthcare: A Systematic Literature Review

Abstract

Artificial intelligence (AI) in the healthcare sector is attracting attention from researchers and healthcare practitioners. Prior study has been limited in examining this problem from a multidisciplinary perspective, including accounting, business and management, decision sciences, and health professionals. The systematic literature study, employing a reliable and reproducible research methodology, allowed the researchers to get 288 peer-reviewed publications from Scopus. The authors utilised qualitative and quantitative metrics to analyse authors, publications, keywords, and collaborative networks among researchers. The study employed the Bibliometrix R software suite. The research indicated that the literature in this field is in its infancy. It underscores the administration of health services, predictive medicine, patient data and diagnostics, and clinical decision-making. The United States, China, and the United Kingdom generated the most volume of studies. Keyword research revealed that AI can aid clinicians in diagnosis, predicting disease spread, and customising treatment approaches. The literature reveals various AI applications in healthcare and a substantial area of study that remains little investigated. AI projects require proficiency and comprehension of data quality for data-intensive analysis and knowledge-based management. Insights can aid academics and healthcare professionals in understanding and addressing future enquiries regarding AI in the healthcare industry.