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

被引:3
|
作者
Wee, Nicole Kessa [1 ]
Git, Kim-Ann [2 ]
Lee, Wen-Jeng [3 ]
Raval, Gaurang [4 ]
Pattokhov, Aziz [5 ]
Ho, Evelyn Lai Ming [6 ]
Chuapetcharasopon, Chamaree [7 ]
Tomiyama, Noriyuki [8 ]
Ng, Kwan Hoong [9 ,10 ,11 ]
Tan, Cher Heng [1 ,12 ]
机构
[1] Tan Tock Seng Hosp, Dept Diagnost Radiol, Natl Healthcare Grp, Singapore, Singapore
[2] Pantai Hosp, Dept Diagnost Radiol, Kuala Lumpur, Malaysia
[3] Natl Taiwan Univ Hosp, Dept Diagnost Radiol, Taipei, Taiwan
[4] Hinduja Hosp, Dept Intervent Radiol, Mumbai, Maharashtra, India
[5] Tashkent State Dent Inst, Fac Med, Tashkent, Uzbekistan
[6] ParkCity Med Ctr, Dept Diagnost Radiol, Kuala Lumpur, Malaysia
[7] Medpk Hosp, Dept Diagnost Radiol, Bangkok, Thailand
[8] Osaka Univ Hosp, Dept Diagnost & Intervent Radiol Suita, Osaka, Japan
[9] Univ Malaya, Dept Biomed Imaging, Kuala Lumpur, Malaysia
[10] Univ Malaya, Res Imaging Ctr, Kuala Lumpur, Malaysia
[11] UCSI Univ, Fac Med & Hlth Sci, Springhill Campus, Port Dickson, Negri Sembilan, Malaysia
[12] Nanyang Technol Univ, Lee Kong Chian Sch Med, Singapore, Singapore
关键词
Position statement; Asian -Oceanian Society of Radiology; Artificial intelligence; Singapore;
D O I
10.3348/kjr.2024.0419
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
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.
引用
收藏
页码:603 / 612
页数:10
相关论文
共 36 条
  • [1] CIRSE Position Paper on Artificial Intelligence in Interventional Radiology
    Arash Najafi
    Roberto Luigi Cazzato
    Bernhard C. Meyer
    Philippe L. Pereira
    Angel Alberich
    Antonio López
    Maxime Ronot
    Jan Fritz
    Monique Maas
    Sean Benson
    Patrick Haage
    Fernando Gomez Munoz
    CardioVascular and Interventional Radiology, 2023, 46 : 1303 - 1307
  • [2] CIRSE Position Paper on Artificial Intelligence in Interventional Radiology
    Najafi, Arash
    Cazzato, Roberto Luigi
    Meyer, Bernhard C.
    Pereira, Philippe L.
    Alberich, Angel
    Lopez, Antonio
    Ronot, Maxime
    Fritz, Jan
    Maas, Monique
    Benson, Sean
    Haage, Patrick
    Munoz, Fernando Gomez
    CARDIOVASCULAR AND INTERVENTIONAL RADIOLOGY, 2023, 46 (10) : 1303 - 1307
  • [3] 2023 Survey on User Experience of Artificial Intelligence Software in Radiology by the Korean Society of Radiology
    Hwang, Eui Jin
    Park, Ji Eun
    Song, Kyoung Doo
    Yang, Dong Hyun
    Kim, Kyung Won
    Lee, June-Goo
    Yoon, Jung Hyun
    Han, Kyunghwa
    Kim, Dong Hyun
    Kim, Hwiyoung
    Park, Chang Min
    KOREAN JOURNAL OF RADIOLOGY, 2024, 25 (07) : 613 - 622
  • [5] Impact of artificial intelligence on radiology: a EuroAIM survey among members of the European Society of Radiology
    Brkljacic, Boris
    Derchi, Lorenzo E.
    Hamm, Bernd
    Fuchsjager, Michael
    Krestin, Gabriel
    Dewey, Marc
    Parizel, Paul
    Clark, Jonathan
    Codari, Marina
    Melazzini, Luca
    Morozov, Sergey P.
    van Kuijk, Cornelis C.
    Sconfienza, Luca M.
    Sardanelli, Francesco
    INSIGHTS INTO IMAGING, 2019, 10 (01)
  • [6] Current and emerging artificial intelligence applications for pediatric musculoskeletal radiology
    Offiah, Amaka C.
    PEDIATRIC RADIOLOGY, 2022, 52 (11) : 2149 - 2158
  • [7] Current and emerging artificial intelligence applications for pediatric interventional radiology
    Sudhen B. Desai
    Anuj Pareek
    Matthew P. Lungren
    Pediatric Radiology, 2022, 52 : 2173 - 2177
  • [8] Current and emerging artificial intelligence applications for pediatric musculoskeletal radiology
    Amaka C. Offiah
    Pediatric Radiology, 2022, 52 : 2149 - 2158
  • [9] Current and emerging artificial intelligence applications for pediatric interventional radiology
    Desai, Sudhen B.
    Pareek, Anuj
    Lungren, Matthew P.
    PEDIATRIC RADIOLOGY, 2022, 52 (11) : 2173 - 2177
  • [10] Artificial intelligence in interventional radiology: Current concepts and future trends
    Lesaunier, Armelle
    Khlaut, Julien
    Dancette, Corentin
    Tselikas, Lambros
    Bonnet, Baptiste
    Boeken, Tom
    DIAGNOSTIC AND INTERVENTIONAL IMAGING, 2025, 106 (01) : 5 - 10