Position Statements of the Emerging Trends Committee of the Asian Oceanian Society of Radiology on the Adoption and Implementation of Artificial Intelligence for Radiology.

Autor:	Wee NK; Department of Diagnostic Radiology, Tan Tock Seng Hospital, National Healthcare Group, Singapore., Git KA; Department of Diagnostic Radiology, Pantai Hospital, Kuala Lumpur, Malaysia., Lee WJ; Department of Diagnostic Radiology, National Taiwan University Hospital, Taipei, Taiwan., Raval G; Department of Diagnostic Radiology, Workhardt Hospitals Limited, Mumbai, India., Pattokhov A; Faculty of Medicine, Tashkent State Dental Institute, Tashkent, Uzbekistan., Ho ELM; Department of Diagnostic Radiology, ParkCity Medical Centre, Kuala Lumpur, Malaysia., Chuapetcharasopon C; Department of Diagnostic Radiology, MedPark Hospital, Bangkok, Thailand., Tomiyama N; Department of Diagnostic and Interventional Radiology Suita, Osaka University Hospital, Osaka, Japan., Ng KH; Department of Biomedical Imaging and University of Malaya Research Imaging Centre, University of Malaya, Kuala Lumpur, Malaysia.; Faculty of Medicine and Health Sciences, UCSI University Springhill Campus, Port Dickson, Malaysia., Tan CH; Department of Diagnostic Radiology, Tan Tock Seng Hospital, National Healthcare Group, Singapore.; Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore. cherhengtan@ntu.edu.sg.
Jazyk:	angličtina
Zdroj:	Korean journal of radiology [Korean J Radiol] 2024 Jul; Vol. 25 (7), pp. 603-612.
DOI:	10.3348/kjr.2024.0419
Abstrakt:	Artificial intelligence (AI) is rapidly gaining recognition in the radiology domain as a greater number of radiologists are becoming AI-literate. However, the adoption and implementation of AI solutions in clinical settings have been slow, with points of contention. A group of AI users comprising mainly clinical radiologists across various Asian countries, including India, Japan, Malaysia, Singapore, Taiwan, Thailand, and Uzbekistan, formed the working group. This study aimed to draft position statements regarding the application and clinical deployment of AI in radiology. The primary aim is to raise awareness among the general public, promote professional interest and discussion, clarify ethical considerations when implementing AI technology, and engage the radiology profession in the ever-changing clinical practice. These position statements highlight pertinent issues that need to be addressed between care providers and care recipients. More importantly, this will help legalize the use of non-human instruments in clinical deployment without compromising ethical considerations, decision-making precision, and clinical professional standards. We base our study on four main principles of medical care-respect for patient autonomy, beneficence, non-maleficence, and justice. Competing Interests: The authors have no potential conflicts of interest to disclose. (Copyright © 2024 The Korean Society of Radiology.)
Databáze:	MEDLINE
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