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...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: 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
مؤلفون آخرون: Lee Kong Chian School of Medicine (LKCMedicine)
التنسيق: مقال
اللغة:English
منشور في: 2024
الموضوعات:
الوصول للمادة أونلاين:https://hdl.handle.net/10356/180596
الوسوم: إضافة وسم
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الوصف
الملخص: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.