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Ethical concerns about the applications of artificial intelligence in healthcare practices: an explanatory review

Hassan, Ismail Bile and Hashi, Abdurezak Abdulahi (2021) Ethical concerns about the applications of artificial intelligence in healthcare practices: an explanatory review. Revelation and Science, 10 (2). pp. 9-17. ISSN 2229-9645 E-ISSN 2229-9947

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Modern advances in machine learning and artificial intelligence (AI) have greatly improved certain healthcare services both in prevention and treatment of given ailments. Artificial intelligence technologies that benefited healthcare include machine learning, natural language processing, rule-based expert system, physical robots, and robotics process automation. AI has aided medical researchers in modeling research, clinical laboratories, anatomic pathology and reading huge data and designing drugs with reliable accuracy. It helped medical doctors’ interpretation of medical images that are designed to diagnose given illnesses, such as imaging practices of X-ray, MRI and ultrasound diagnoses. Though the use of artificial intelligence and machine-learning algorithms is rapidly growing in various healthcare practices with promising potentials, however the use of computer-generated applications in healthcare sector have raised certain ethical concerns about the safety and reliability of these applications. Similar concerns are made about matters of privacy, security, accountability, fairness, and rights. This paper uses an analytical method and reviews these concerns.

Item Type: Article (Journal)
Additional Information: 5735/89030
Uncontrolled Keywords: Healthcare, Artificial intelligence, Ethical issue, Analytical review
Subjects: R Medicine > R Medicine (General)
T Technology > T Technology (General) > T10.5 Communication of technical information
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Science > Department of Biotechnology
Date Deposited: 29 Mar 2021 08:20
Last Modified: 21 May 2021 16:46
URI: http://irep.iium.edu.my/id/eprint/89030

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