Radiologists' perceptions and readiness for integrating artificial intelligence in diagnostic imaging: A survey-based study.

Journal: Bioinformation
Published Date: Dec 31, 2024

Abstract

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.

Authors

  • Prasanna Sakthi Aravazhi
    Institute of Internal Medicine, Madras Medical College, Chennai, India.
  • Kumaran Ottilingam Ravindran
    Institute of Internal Medicine, Madras Medical College, Chennai, India.
  • Kanika Balasubramani
    Institute of Internal Medicine, Madras Medical College, Chennai, India.
  • Mohammed Kamil
    Institute of Internal Medicine, Madras Medical College, Chennai, India.
  • Kanishka Gouthaman
    Institute of Internal Medicine, Madras Medical College, Chennai, India.
  • Lalit Karki
    Department of Radiology, Kathmandu Medical College, Kathmandu, Nepal.
  • Sandhiya Thiyagarajan
    Department of Internal Medicine, MMC, RGGGH, Chennai, India.
  • Akshay Sureshkumar Nair
    Department of General Medicine, Starcare Hospital, Calicut, India.

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