Position Statements of the Emerging Trends Committee of the Asian Oceanian Society of Radiology on the Adoption and Implementation of Artificial Intelligence for Radiology
- PMID: 38942454
- PMCID: PMC11214917
- DOI: 10.3348/kjr.2024.0419
Position Statements of the Emerging Trends Committee of the Asian Oceanian Society of Radiology on the Adoption and Implementation of Artificial Intelligence for Radiology
Abstract
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.
Keywords: Artificial intelligence; Asian-Oceanian Society of Radiology; Position statement.
Copyright © 2024 The Korean Society of Radiology.
Conflict of interest statement
The authors have no potential conflicts of interest to disclose.
Comment in
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The Value of Non-Clinical Applications of Artificial Intelligence in Radiology Should Be Noted.Korean J Radiol. 2024 Dec;25(12):1100-1101. doi: 10.3348/kjr.2024.1021. Korean J Radiol. 2024. PMID: 39608375 Free PMC article. No abstract available.
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