Researchers validated a Japanese version of the ATTARI-12 scale to measure medical trainees' attitudes toward AI in healthcare.
Key Details
- 1The J-ATTARI-12 scale was developed and validated based on a nationwide survey of 326 Japanese medical students and residents.
- 2The scale assesses two dimensions: 'AI anxiety and aversion' and 'AI optimism and acceptance.'
- 3Psychometric evaluation showed good validity, reliability, and model fit.
- 4The tool enables structured assessment of readiness, concerns, and acceptance of AI in medical training.
- 5J-ATTARI-12 will be used in a new 'Medicine and AI' program at Juntendo University from 2026.
- 6Published in JMIR Medical Education on January 14, 2026.
Why It Matters
Understanding medical trainees’ attitudes toward AI is critical for effective curriculum development and the responsible integration of AI into clinical practice. The J-ATTARI-12 scale provides a culturally adapted tool to identify barriers and support the future workforce in adopting AI, including in radiology.
Source
EurekAlert
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