Undergraduate Medical Students’ Readiness to Adopt Artificial Intelligence in Healthcare: A Cross-sectional Study

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Authors: Shweta Patil, Kranti Tekulapally
Cited by: 0

Abstract

Introduction: Artificial Intelligence (AI) is revolutionising healthcare and is being used in all fields of medicine. For future clinical practice, medical students must gain expertise in this emerging technology. Aim: To assess the readiness of medical students to adopt AI in healthcare. Materials and Methods: A cross-sectional study was conducted among Bachelor of Medicine and Bachelor of Surgery (MBBS) students at RVM Institute of Medical Sciences and Research Centre, Secunderabad, Telangana, India, from March 2024 to June 2025. Demographic information and responses to the Medical Artificial Intelligence Readiness Scale for Medical Students (MAIRS-MS) were collected using a 5-point Likert scale through a Google Form circulated via WhatsApp. Data from 269 students (response rate: 32%) who completed the entire data collection form were analysed. Using appropriate tests based on data normality, associations were examined between readiness and age, gender, year of study, and prior AI training, with p-value

Fields of Study & Subjects

Artificial Intelligence in Healthcare and Education Innovations in Medical Education Artificial Intelligence in Education

Publication details

Journal / source
JOURNAL OF CLINICAL AND DIAGNOSTIC RESEARCH
Publication date
5 February 2026