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

Year: 2024
Type: article
Study design: Observational Study
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, Kumaran Ottilingam Ravindran, Kanika Balasubramani, Mohammed Kamil, Kanishka Gouthaman, Lalit Karki, Sandhiya Thiyagarajan, Akshay Sureshkumar Nair
Language: English
Field: Medicine
Open Access status: hybrid
OpenAlex ID: W4407082742
FWCI: 0.245
Cites:
Cited by: 3
Related to: 10