aspg-28-2674-1793997665 20261106204105 American Scientific Publishing Group admin@americaspg.com American Scientific Publishing Group Journal of Artificial Intelligence and Metaheuristics JAIM 2833-5597 2024 7 2 Basant Sameh Department of Communications and Electronics, Delta Higher Institute of Engineering and Technology (DHIET), Mansoura 35111, Egypt Nima Khodadadi Department of Civil and Architectural Engineering, University of Miami, Coral Gables, FL, USA Ehsan khodadadi Department of Chemistry and Biochemistry, University of Arkansas, Fayetteville, AR 72701, USA Marwa M. Eid Faculty of Artificial Intelligence, Delta University for Science and Technology, Mansoura 35111, Egypt S. K. Towfek Computer Science and Intelligent Systems Research Center, Blacksburg 24060, Virginia, USA Machine learning (ML)-based techniques are increasingly used to address problems in fields such as finance, marketing, production, the environment, health care, and security. ML can identify patterns, interpret data, reveal hidden relationships, and analyze large datasets, potentially improving the specificity, sensitivity, predictability, and stability of diagnostic systems. This review examines the application of machine learning in medicine and its use in diagnostics, including medical chemistry, wearable sensors, cancer, brain health, and medical imaging. It discusses application-specific model adaptations and offers findings and references to guide academics, practitioners, decision-makers, and future research. 2024 07 17 2674 https://creativecommons.org/licenses/by/4.0/ 10.54216/JAIM.070202 https://americaspg.com/journal/28/article/2674 https://americaspg.com/storage/articles/manuscripts/01M5J3RVSA4Z1DEM9Z8JQZ53QG.pdf