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

Journal

Korean Journal of Radiology

Year

2024

Materials & Methods

The 10 authors include AI developers and AI users, all of whom are radiologists in the following countries: India, Japan, Malaysia, Singapore, Taiwan, Thailand, and Uzbekistan. Among us, two are also ethics administrators who have been previously involved in the clinical deployment of AI algorithms in their respective hospitals and have experience in the practical aspects and implementation of AI in Radiology. The Emerging Trends Committee of the AOSR holds quarterly meetings, and the idea of creating recommendations and guidelines was formulated during one such meeting. Two authors (C.H.T. and K.A.G.) drafted several statements in point form, pieced together in prose by a third author (N.K.W.), and then presented them to the Emerging Trends Committee of the AOSR for discussion, refinement, and consensus. Subsequently, the paper underwent multiple revisions with input from the rest of the authors’ group. There was ample room for discussion regarding the robustness and soundness of the points raised, with everyone reaching a consensus at the end of the process. Thereafter, email correspondence between the authors and the Executive Council of the AOSR was conducted for editing. Revisions made by executive council members were integrated and considered in the final manuscript before submission. Therefore, this study presents consensus opinions from the Emerging Trends Committee of the AOSR, endorsed by the AOSR executive council.

Conclusion

Healthcare practice considers four main principles namely, respect for patient autonomy, non-maleficence, justice, and beneficence, and trust between care providers (clinicians) and care recipients (patients). If the use of AI in radiology is to be successfully implemented within a clinical setting, it needs to be seen as an equitable and just system and as an integral part of the healthcare infrastructure. As AI technology continues to advance, our working group believes that these principles must be implemented with a governing body to supervise and ensure that they are upheld. Deploying AI technology without considering human factors would damage the doctor-patient relationship. Our paper will be useful to policymakers, professional bodies, and the general public as we introduce AI into radiology. Some underlying broad principles may also apply to other clinical specialties.

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