Journal of Artificial Intelligence and Metaheuristics
Journal DOI
2833-5597ISSN (Online)
Volume 7 , Issue 2 , PP: 18-31, 2024 | Cite this article as | XML | Html | PDF | Full Length Article
Basant Sameh 1 * , Nima Khodadadi 2 , Ehsan khodadadi 3 , Marwa M. Eid 4 , S. K. Towfek 5
Doi: https://doi.org/10.54216/JAIM.070202
Machine learning (ML) based techniques have enjoyed significant popularity in addressing the hostility of numerous problems in a range of applications, such as finance, marketing, production, environment, health care, and security. One of the most important distinctions between machine learning and human ways of thinking is their ability to observe patterns, make interpretations, reveal some hidden relationships, and analyze huge amounts of data. Machine learning (ML) technology can lead to improved specificity, sensitivity, predictability, and steadiness of such systems. Through this review, though, we will have an in-depth discourse on the application of machine learning in the field of medicine and how the latest technologies are mostly deployed in diagnostics. Medical applications that are widely used, including but not limited to machine learning solutions for medical chemistry, wearable sensors, cancer, the brain, and medical imaging, will be discussed in detail, with a focus on model adjustments to address the problems faced by the applications. In the course of the work, academics, practitioners, and decision-makers will have plenty of opportunities to utilize the findings, references, and insights of this study to improve their work and steer future research.
Machine learning , Artificial Intelligence , Machine Learning Applications , Medical Field , ML in Healthcare.
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