The terminology Artificial Intelligence (AI) describes the application computing systems and technology to effectively simulate smart actions and smart thinking compared to the human mind. The concept of AI was introduced as the engineering and science of making smart machines that can operate without the engagement of humans using Machine Learning (ML). This research provides a wider scope of the concept of AI in the medical field, handling the various concepts and terms associated with the concept, including the present and future implementation of the concept. The major research materials applied are Google and PubMed searches, which were conducted using the “Artificial Intelligence” as the basic keyword. More references were retrieved by cross-referencing major publications. The advancements in AI technology in recent times and the present application of medicine have been analyzed critically. This paper ends with an assumption that AI focuses on implementing changes in the medical practices in previously unidentified ways. However, many of the application are still in the initial stages and require exploration and development. In addition, clinical experts have to comprehend and adapt with development for effective delivery of medical services.
Keywords
Artificial Intelligence (AI), Machine Learning (ML), AI Algorithms.
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Author(s) thanks to Dr.John Alen for this research completion and support.
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Madhuri Kumar
Madhuri Kumar
Bioengineering, The Grainger College of Engineering, University of Illinois, IL 61801, USA.
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Cite this article
Madhuri Kumar and John Alen, “The Scope and Applications of Artificial Intelligence in the Medical Sector”, Journal of Biomedical and Sustainable Healthcare Applications, vol.1, no.1, pp. 018-025, January 2021. doi: 10.53759/0088/JBSHA202101003.
