Sorte Smita R, Rawekar Alka, Rathod Sachin B
Physiology, All India Institute of Medical Sciences, Nagpur, Nagpur, IND.
Physiology, Jawaharlal Nehru Medical College, Datta Meghe Institute of Medical Sciences (Deemed to be University), Wardha, IND.
Cureus. 2024 Aug 6;16(8):e66285. doi: 10.7759/cureus.66285. eCollection 2024 Aug.
Introduction The current medical curriculum lacks comprehensive artificial intelligence (AI)-focused training, potentially impacting future healthcare delivery. This study addresses the critical gap in AI training within medical education, particularly in India, by assessing medical students' awareness, perceptions, readiness, confidence, and ethical considerations regarding AI in healthcare. Our findings underscore the necessity of integrating AI competencies into medical education to prepare future healthcare professionals for an AI-driven landscape. Method After obtaining ethics approval, we conducted a cross-sectional study on Bachelor of Medicine and Bachelor of Surgery (MBBS) students from the 2019-2023 batch. An exploratory survey using a validated questionnaire was employed to obtain medical students' current understanding and awareness of artificial intelligence (AI) in healthcare, perceptions, readiness, confidence, and ethical considerations in utilizing AI technologies in clinical practice. Results The survey received 217 responses from 2019-2023 MBBS students. We found a mean percentage of awareness score of 44.74%, a mean percentage perception score of 68.96%, a mean percentage readiness score of 91.32%, a mean percentage confidence score of 58.48%, and a mean percentage ethics importance score of 69.27%. Males had higher awareness, confidence, and readiness scores. Conversely, females scored slightly higher in perception and the importance of ethics consideration, although not statistically significant. Junior batches outperform senior batches in perception, confidence, and readiness scores; in contrast, the awareness and ethics importance scores do not show significant differences between the two groups. Conclusion Our study indicates a generally positive outlook toward AI's potential to enhance healthcare delivery and patient outcomes. The study suggests a strong inclination toward further education and practical training focused on AI in healthcare, considering a solid recognition of the significance of ethical implications related to AI in healthcare. These findings highlight the importance of fostering AI literacy within medical education curricula and underscore the necessity for ongoing evaluation and adaptation to ensure that future healthcare professionals are equipped to navigate the complexities of AI in healthcare delivery while upholding ethical standards.
引言 当前的医学课程缺乏以人工智能（AI）为重点的全面培训，这可能会影响未来的医疗服务。本研究通过评估医学生对医疗保健领域人工智能的认识、看法、准备情况、信心以及伦理考量，解决了医学教育中人工智能培训的关键差距，特别是在印度。我们的研究结果强调了将人工智能能力整合到医学教育中的必要性，以便为未来的医疗保健专业人员做好准备，应对人工智能驱动的局面。
方法 在获得伦理批准后，我们对2019 - 2023批次的医学学士和外科学士（MBBS）学生进行了一项横断面研究。使用经过验证的问卷进行探索性调查，以了解医学生目前对医疗保健领域人工智能的理解和认识、看法、准备情况、信心以及在临床实践中使用人工智能技术的伦理考量。
结果 该调查收到了来自2019 - 2023年MBBS学生的217份回复。我们发现，认识得分的平均百分比为44.74%，看法得分的平均百分比为68.96%，准备得分的平均百分比为91.32%，信心得分的平均百分比为58.48%，伦理重要性得分的平均百分比为69.27%。男性在认识、信心和准备得分方面较高。相反，女性在看法以及伦理考量的重要性方面得分略高，尽管在统计学上不显著。低年级学生在看法、信心和准备得分方面优于高年级学生；相比之下，两组之间的认识和伦理重要性得分没有显著差异。
结论 我们的研究表明，对于人工智能提升医疗服务和患者治疗效果的潜力，总体看法较为积极。考虑到对医疗保健领域人工智能相关伦理影响重要性的深刻认识，该研究表明学生强烈倾向于接受专注于医疗保健领域人工智能的进一步教育和实践培训。这些发现凸显了在医学教育课程中培养人工智能素养的重要性，并强调了持续评估和调整的必要性，以确保未来的医疗保健专业人员有能力在坚持道德标准的同时，应对医疗保健领域人工智能的复杂性。
