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Artif Intell Cancer. Feb 28, 2022; 3(1): 1-10
Published online Feb 28, 2022. doi: 10.35713/aic.v3.i1.1
Potential and role of artificial intelligence in current medical healthcare
Chao-Ming Hung, Hon-Yi Shi, Po-Huang Lee, Chao-Sung Chang, Kun-Ming Rau, Hui-Ming Lee, Cheng-Hao Tseng, Sung-Nan Pei, Kuen-Jang Tsai, Chong-Chi Chiu
Chao-Ming Hung, Hui-Ming Lee, Kuen-Jang Tsai, Chong-Chi Chiu, Department of General Surgery, E-Da Cancer Hospital, Kaohsiung 82445, Taiwan
Chao-Ming Hung, Po-Huang Lee, Hui-Ming Lee, College of Medicine, I-Shou University, Kaohsiung 82445, Taiwan
Hon-Yi Shi, Department of Healthcare Administration and Medical Informatics, Kaohsiung Medical University, Kaohsiung 80708, Taiwan
Hon-Yi Shi, Department of Business Management, National Sun Yat-Sen University, Kaohsiung 80420, Taiwan
Hon-Yi Shi, Department of Medical Research, Kaohsiung Medical University Hospital, Kaohsiung 80708, Taiwan
Hon-Yi Shi, Department of Medical Research, China Medical University Hospital, China Medical University, Taichung 40402, Taiwan
Po-Huang Lee, Department of Surgery, E-Da Hospital, Kaohsiung 82445, Taiwan
Chao-Sung Chang, Kun-Ming Rau, Sung-Nan Pei, Department of Hematology & Oncology, E-Da Cancer Hospital, Kaohsiung 82445, Taiwan
Chao-Sung Chang, School of Medicine for International Students, College of Medicine, I-Shou University, Kaohsiung 82445, Taiwan
Kun-Ming Rau, Cheng-Hao Tseng, Sung-Nan Pei, Chong-Chi Chiu, School of Medicine, College of Medicine, I-Shou University, Kaohsiung 82445, Taiwan
Cheng-Hao Tseng, Department of Gastroenterology and Hepatology, E-Da Cancer Hospital, Kaohsiung 82445, Taiwan
Cheng-Hao Tseng, Department of Gastroenterology and Hepatology, E-Da Hospital, Kaohsiung 82445, Taiwan
Chong-Chi Chiu, Department of Medical Education and Research, E-Da Cancer Hospital, Kaohsiung 82445, Taiwan
Author contributions: Shi HY, Rau KM, and Lee HM performed the literature search; Chiu CC drafted and supervised the manuscript; Hung CM, Tseng CH, Pei SN, and Tsai KJ edited and corrected the manuscript; Lee PH, Chang CS, and Chiu CC made critical revisions; all authors have read and approved the final manuscript.
Conflict-of-interest statement: All authors declare that they have no conflict of interest.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Chong-Chi Chiu, MD, Professor, Department of General Surgery, E-Da Cancer Hospital, No. 21 Yi-Da Road, Jiao-Su Village, Yan-Chao District, Kaohsiung 82445, Taiwan. chiuchongchi@gmail.com
Received: November 9, 2021
Peer-review started: November 9, 2021
First decision: December 13, 2021
Revised: December 31, 2021
Accepted: February 20, 2022
Article in press: February 20, 2022
Published online: February 28, 2022
Processing time: 107 Days and 11.2 Hours
Abstract

Artificial intelligence (AI) is defined as the digital computer or computer-controlled robot's ability to mimic intelligent conduct and crucial thinking commonly associated with intelligent beings. The application of AI technology and machine learning in medicine have allowed medical practitioners to provide patients with better quality of services; and current advancements have led to a dramatic change in the healthcare system. However, many efficient applications are still in their initial stages, which need further evaluations to improve and develop these applications. Clinicians must recognize and acclimate themselves with the developments in AI technology to improve their delivery of healthcare services; but for this to be possible, a significant revision of medical education is needed to provide future leaders with the required competencies. This article reviews the potential and limitations of AI in healthcare, as well as the current medical application trends including healthcare administration, clinical decision assistance, patient health monitoring, healthcare resource allocation, medical research, and public health policy development. Also, future possibilities for further clinical and scientific practice were also summarized.

Keywords: Artificial intelligence; Machine learning; Potential; Limitation; Medical healthcare application; Coronavirus disease 19

Core Tip: In this review, we explored the potential of powerful artificial intelligence (AI) for a more comprehensive application in the healthcare setting. Moreover, we also pointed out the demerits and problems in the current application of AI in medicine.