对比2021与2024年外科医生对AI的认知，揭示生成式AI如何重塑其期待与实践。
Surgeons Awareness, Expectations, and Involvement with Artificial Intelligence: a Survey Pre and Post the GPT Era
- 通过全球两次横断面调查，比较外科医生对AI的了解、期望与参与度变化。
- 2024年超半数医生参与过AI课程，87.2%强调责任与透明性，96.6%愿临床应用AI。
- 虽热情高涨，但基础概念认知仍弱，基础设施和跨学科培训成关键瓶颈。
人工智能正重塑医学，生成式AI如ChatGPT改变了人们对技术潜力的认知。本研究通过2021年与2024年两次全球横断面调查，分析外科医生对AI的认知、期望与参与情况。调查分别在2021年IRCAD网络研讨会前与2024年EAES年会期间开展，共收集来自98个国家的671份有效回复（2021年522份，2024年149份）。AI课程知晓率从2021年的14.5%升至2024年的44.6%，参与率由12.9%增至23%。尽管如此，对基础AI概念的熟悉度仍有限。2024年，对医院管理角色的期待上升，伦理问题受关注，87.2%受访者强调问责与透明。基础设施不足仍是主要障碍。跨学科协作与系统化培训被认定为成功落地的关键。79.9%认为AI将积极影响外科，96.6%愿意将其融入临床实践。外科医生对AI的看法正在生成式AI与手术数据科学进步推动下演变，虽集成意愿强烈，但知识鸿沟与基建挑战依然存在。教育、伦理框架与基础设施建设亟需加强。
原文摘要 · Abstract (English)
Artificial Intelligence (AI) is transforming medicine, with generative AI models like ChatGPT reshaping perceptions of its potential. This study examines surgeons' awareness, expectations, and involvement with AI in surgery through comparative surveys conducted in 2021 and 2024. Two cross-sectional surveys were distributed globally in 2021 and 2024, the first before an IRCAD webinar and the second during the annual EAES meeting. The surveys assessed demographics, AI awareness, expectations, involvement, and ethics (2024 only). The surveys collected a total of 671 responses from 98 countries, 522 in 2021 and 149 in 2024. Awareness of AI courses rose from 14.5% in 2021 to 44.6% in 2024, while course attendance increased from 12.9% to 23%. Despite this, familiarity with foundational AI concepts remained limited. Expectations for AI's role shifted in 2024, with hospital management gaining relevance. Ethical concerns gained prominence, with 87.2% of 2024 participants emphasizing accountability and transparency. Infrastructure limitations remained the primary obstacle to implementation. Interdisciplinary collaboration and structured training were identified as critical for successful AI adoption. Optimism about AI's transformative potential remained high, with 79.9% of respondents believing AI would positively impact surgery and 96.6% willing to integrate AI into their clinical practice. Surgeons' perceptions of AI are evolving, driven by the rise of generative AI and advancements in surgical data science. While enthusiasm for integration is strong, knowledge gaps and infrastructural challenges persist. Addressing these through education, ethical frameworks, and infrastructure development is essential.
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