Position statements of the Emerging Trends Committee of the Asian Oceanian Society of Radiology on the adoption and implementation of artificial intelligence for radiology
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 ma...
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sg-ntu-dr.10356-1805962024-10-20T15:39:19Z Position statements of the Emerging Trends Committee of the Asian Oceanian Society of Radiology on the adoption and implementation of artificial intelligence for radiology Wee, Nicole Kessa Git, Kim-Ann Lee, Wen-Jeng Raval, Gaurang Pattokhov, Aziz Ho, Evelyn Lai Ming Chuapetcharasopon, Chamaree Tomiyama, Noriyuki Ng, Kwan Hoong Tan, Cher Heng Lee Kong Chian School of Medicine (LKCMedicine) Tan Tock Seng Hospital Medicine, Health and Life Sciences Position statement Asian-Oceanian Society of Radiology 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. Published version 2024-10-14T06:09:07Z 2024-10-14T06:09:07Z 2024 Journal Article Wee, N. K., Git, K., Lee, W., Raval, G., Pattokhov, A., Ho, E. L. M., Chuapetcharasopon, C., Tomiyama, N., Ng, K. H. & Tan, C. H. (2024). Position statements of the Emerging Trends Committee of the Asian Oceanian Society of Radiology on the adoption and implementation of artificial intelligence for radiology. Korean Journal of Radiology, 25(7), 603-612. https://dx.doi.org/10.3348/kjr.2024.0419 1229-6929 https://hdl.handle.net/10356/180596 10.3348/kjr.2024.0419 38942454 2-s2.0-85197204328 7 25 603 612 en Korean Journal of Radiology © 2024 The Korean Society of Radiology. This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. application/pdf |
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Medicine, Health and Life Sciences Position statement Asian-Oceanian Society of Radiology Wee, Nicole Kessa Git, Kim-Ann Lee, Wen-Jeng Raval, Gaurang Pattokhov, Aziz Ho, Evelyn Lai Ming Chuapetcharasopon, Chamaree Tomiyama, Noriyuki Ng, Kwan Hoong Tan, Cher Heng Position statements of the Emerging Trends Committee of the Asian Oceanian Society of Radiology on the adoption and implementation of artificial intelligence for radiology |
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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. |
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Lee Kong Chian School of Medicine (LKCMedicine) |
author_facet |
Lee Kong Chian School of Medicine (LKCMedicine) Wee, Nicole Kessa Git, Kim-Ann Lee, Wen-Jeng Raval, Gaurang Pattokhov, Aziz Ho, Evelyn Lai Ming Chuapetcharasopon, Chamaree Tomiyama, Noriyuki Ng, Kwan Hoong Tan, Cher Heng |
format |
Article |
author |
Wee, Nicole Kessa Git, Kim-Ann Lee, Wen-Jeng Raval, Gaurang Pattokhov, Aziz Ho, Evelyn Lai Ming Chuapetcharasopon, Chamaree Tomiyama, Noriyuki Ng, Kwan Hoong Tan, Cher Heng |
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Wee, Nicole Kessa |
title |
Position statements of the Emerging Trends Committee of the Asian Oceanian Society of Radiology on the adoption and implementation of artificial intelligence for radiology |
title_short |
Position statements of the Emerging Trends Committee of the Asian Oceanian Society of Radiology on the adoption and implementation of artificial intelligence for radiology |
title_full |
Position statements of the Emerging Trends Committee of the Asian Oceanian Society of Radiology on the adoption and implementation of artificial intelligence for radiology |
title_fullStr |
Position statements of the Emerging Trends Committee of the Asian Oceanian Society of Radiology on the adoption and implementation of artificial intelligence for radiology |
title_full_unstemmed |
Position statements of the Emerging Trends Committee of the Asian Oceanian Society of Radiology on the adoption and implementation of artificial intelligence for radiology |
title_sort |
position statements of the emerging trends committee of the asian oceanian society of radiology on the adoption and implementation of artificial intelligence for radiology |
publishDate |
2024 |
url |
https://hdl.handle.net/10356/180596 |
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1814777807915450368 |