Aravazhi Prasanna Sakthi, Ravindran Kumaran Ottilingam, Balasubramani Kanika, Kamil Mohammed, Gouthaman Kanishka, Karki Lalit, Thiyagarajan Sandhiya, Nair Akshay Sureshkumar
Institute of Internal Medicine, Madras Medical College, Chennai, India.
Department of Radiology, Kathmandu Medical College, Kathmandu, Nepal.
Bioinformation. 2024 Dec 31;20(12):1943-1947. doi: 10.6026/9732063002001943. eCollection 2024.
Artificial intelligence (AI) is revolutionizing diagnostic imaging, enhancing precision, speed and efficiency. This study explored radiologists' perceptions of AI through a survey of 100 radiologists across various institutions, focusing on awareness, benefits, concerns and preparedness for AI adoption. Most radiologists recognized AI's potential to improve diagnostic accuracy and workflow efficiency but expressed concerns about its reliability, job displacement and ethical implications. Readiness to adopt AI varied significantly based on age, experience and familiarity with AI tools. These findings underscore the need for targeted education and training programs to address skepticism and support the effective integration of AI into diagnostic imaging practices.
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