人工智能在低收入和中等收入国家外科护理中的应用：挑战、机遇与未来之路。
Artificial intelligence in surgical care for low- and middle-income countries: Challenges, opportunities, and the path forward.
作者信息
Nkenguye William
机构信息
School of Public Health, Department of Epidemiology and Applied Biostatistics, KCMC University, P O Box 2240, Moshi, Tanzania.
Kilimanjaro Clinical Research Institute, Kilimanjaro Christian Medical Centre, P O Box 3010, Moshi, Tanzania.
出版信息
Surg Pract Sci. 2025 Jun 6;22:100290. doi: 10.1016/j.sipas.2025.100290. eCollection 2025 Sep.
The application of Artificial Intelligence (AI) and Machine Learning (ML) in surgical care has significantly advanced healthcare delivery in high-income countries (HICs), yet remains underutilized in lower- and middle-income countries (LMICs). With a growing burden of surgical diseases, limited surgical expertise, and constrained healthcare resources, AI and ML offer transformative potential in optimizing surgical workflows, improving patient outcomes, and expanding access to specialized care. This manuscript explores the current status, challenges, and future prospects of AI and ML in surgical care for LMICs, emphasizing the critical need for investment, capacity building, and policy development to bridge the healthcare gap.
人工智能（AI）和机器学习（ML）在外科护理中的应用已使高收入国家（HICs）的医疗服务有了显著进步，但在低收入和中等收入国家（LMICs）中仍未得到充分利用。随着外科疾病负担的不断增加、外科专业知识有限以及医疗资源受限，人工智能和机器学习在优化外科工作流程、改善患者预后以及扩大获得专科护理的机会方面具有变革潜力。本文探讨了人工智能和机器学习在低收入和中等收入国家外科护理中的现状、挑战及未来前景，强调了投资、能力建设和政策制定对于弥合医疗差距的迫切需求。
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