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December 8, 2025National Journal of Clinical AnatomyOpen Access

Cultural Adaptation and Validation of the Medical Artificial Intelligence Readiness Scale for Medical Student Questionnaire in Indian Undergraduate Medical Education: A Mixed-methods Study

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Authors

DDDiwakar DhurandharMDMithilesh M DhamandeTCTripti Chandrakar

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Overview

Mixed-methods approach validated AI readiness scale in Indian medical students, indicating need for curricular integration.

Key Points

  • The validation showed that the MAIRS-MS effectively measures artificial intelligence readiness among medical students.
  • Internal consistency scores for the scale reached a high reliability with overall Cronbach's alpha at 0.923.
  • Mixed-methods approach combined qualitative insights and quantitative data to reassess the MAIRS-MS framework.
  • The study highlights the necessity for ethical training alongside AI curriculum integration in medical education.

Cite This Study

Dhurandhar et al. (2025) studied this question.

synapsesocial.com/papers/693624a44fa91c937236c2efhttps://doi.org/10.4103/njca.njca_75_25
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