Dhurandhar Diwakar, Dhamande Mithilesh, C Shivaleela, Bhadoria Pooja, Chandrakar Tripti, Agrawal Jagriti
Anatomy, Pt. Jawahar Lal Nehru Memorial (JNM) Medical College, Raipur, IND.
Prosthodontics, Jawaharlal Nehru Medical College (JNMC), Wardha, IND.
Cureus. 2025 Jan 3;17(1):e76835. doi: 10.7759/cureus.76835. eCollection 2025 Jan.
Medical students, as future healthcare professionals, are pivotal in the adoption and application of artificial intelligence (AI) in clinical settings. Their ability to effectively engage with AI technologies is shaped by their understanding, attitudes, and perceived significance of AI in medicine. Given the growing prominence of AI in the medical field, it is crucial to evaluate how well-prepared medical students are to integrate and use these technologies proficiently.
The cross-sectional study was conducted among 482 undergraduate medical students at a medical college in Central India with the objective to evaluate their readiness for the integration of medical AI into their future clinical practice, utilizing the Medical Artificial Intelligence Readiness Scale for Medical Students (MAIRS-MS) questionnaire.
The mean age of respondents was 21.39 ± 1.770 years with 282 (58.5%) male participants. The respondents were almost equally distributed among all Bachelor of Medicine and Bachelor of Surgery (MBBS) batch students. The average MAIRS-MS score came out to be 74.61 ± 10.137 out of a maximum of 110, whereas the mean values of various subscales of MAIRS-MS were as follows: Cognition Factor, 26.23 ± 4.417; Ability Factor, 27.62 ± 4.372; Vision Factor, 10.37 ± 1.803; and Ethics Factor, 10.39 ± 1.789.
Although there is overall readiness for AI among the respondents, significant variation exists among individuals, especially in the areas of Cognition and Ability. The data highlights the necessity for focused educational programs to improve AI knowledge, skills, and ethical understanding, ensuring that every respondent is well-equipped to handle the advancing field of AI in medicine.
医学生作为未来的医疗保健专业人员，在临床环境中采用和应用人工智能（AI）方面起着关键作用。他们与人工智能技术有效互动的能力取决于他们对人工智能在医学中的理解、态度和感知重要性。鉴于人工智能在医学领域的日益突出，评估医学生为熟练整合和使用这些技术做好了多么充分的准备至关重要。
这项横断面研究在印度中部一所医学院的482名本科医学生中进行，目的是利用医学生医学人工智能准备量表（MAIRS-MS）问卷评估他们将医学人工智能整合到未来临床实践中的准备情况。
受访者的平均年龄为21.39±1.770岁，男性参与者有282人（58.5%）。受访者在所有医学学士和外科学士（MBBS）批次的学生中分布几乎相同。MAIRS-MS的平均得分在满分110分中为74.61±10.137，而MAIRS-MS各子量表的平均值如下：认知因素，26.23±4.417；能力因素，27.62±4.372；愿景因素，10.37±1.803；伦理因素，10.39±1.789。
尽管受访者总体上对人工智能有准备，但个体之间存在显著差异，尤其是在认知和能力方面。数据强调了开展有针对性的教育项目以提高人工智能知识、技能和伦理理解的必要性，确保每个受访者都有能力应对医学中不断发展的人工智能领域。
