How Japanese medical trainees view artificial intelligence in medicine

Here are the key points of the summary:

– The study introduces a new psychometrically validated scale (J-ATTARI-12) developed in Japan to help understand and support the integration of artificial intelligence in medical education.

– The 2-factor scale measures attitudes towards AI “AI anxiety and aversion” and “AI optimism and acceptance” among medical students and residents.

– The scale was developed and validated following internationally recognized guidelines for translation and cultural adaptation.

– A nationwide online survey of 326 participants across Japan tested the scale’s validity and reliability.

– The scale showed good psychometric properties: two-factor structure, high confirmatory factor analysis fit, convergent validity, and internal consistency reliability.

– The J-ATTARI-12 scale allows educators to evaluate attitudes towards AI, identify hesitations, and develop more targeted educational interventions.

– The scale also supports data-driven curriculum development and informed decision-making by providing reliable assessment of attitudes towards AI among Japanese medical trainees.

– The validated scale lays the foundation for advancing AI education, research and integration within Japan’s medical training systems.