Managing The Ethical Terrain Of AI In Radiography: A Cross-Sectional Investigation Of Radiographers' Viewpoints

Abstract

Artificial intelligence (AI) in radiography raises difficult ethical issues and offers revolutionary possibilities for diagnostic imaging. This cross-sectional study set out to find out how radiographers felt about the ethical ramifications of AI in their line of work, as well as to pinpoint the main issues and possible solutions.
Methods: A structured questionnaire was given to a wide range of Saudi Arabian radiologists. Questions about ethical AI concerns, the perceived effect on clinical practice, and recommendations for moral AI integration in radiography were all covered in the survey. Both quantitative and qualitative techniques were used to analyze the data in order to capture a wide variety of viewpoints.
Conclusions: This study uncovered a complicated ethical environment surrounding the use of AI in radiography, one that is marked by professionals' excitement and trepidation. It emphasizes how ethical frameworks, instruction, and the creation of policies are required to direct the application of AI in radiography. These findings add to the current discussion about AI in medical imaging and offer guidance to practitioners, educators, and policymakers on how to handle the moral dilemmas associated with the use of AI in healthcare.