Affiliations 

  • 1 Department of Diagnostic Radiology, Tan Tock Seng Hospital, National Healthcare Group, Singapore
  • 2 Department of Diagnostic Radiology, Pantai Hospital, Kuala Lumpur, Malaysia
  • 3 Department of Diagnostic Radiology, National Taiwan University Hospital, Taipei, Taiwan
  • 4 Department of Diagnostic Radiology, Workhardt Hospitals Limited, Mumbai, India
  • 5 Faculty of Medicine, Tashkent State Dental Institute, Tashkent, Uzbekistan
  • 6 Department of Diagnostic Radiology, ParkCity Medical Centre, Kuala Lumpur, Malaysia
  • 7 Department of Diagnostic Radiology, MedPark Hospital, Bangkok, Thailand
  • 8 Department of Diagnostic and Interventional Radiology Suita, Osaka University Hospital, Osaka, Japan
  • 9 Department of Biomedical Imaging and University of Malaya Research Imaging Centre, University of Malaya, Kuala Lumpur, Malaysia
Korean J Radiol, 2024 Jul;25(7):603-612.
PMID: 38942454 DOI: 10.3348/kjr.2024.0419

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.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.