Malhotra Kashish, Wong Benjamin Ngie Xiong, Lee Susie, Franco Helena, Singh Carol, Cabrera Silva Laura A, Iraqi Habab, Sinha Akatya, Burger Sule, Breedt Danyca Shadé, Goyal Kashish, Dagli Mert Marcel, Bawa Ashvind
Department of Surgery, Dayanand Medical College and Hospital, Ludhiana, IND.
Department of Surgery, Austin Hospital, Melbourne, AUS.
Cureus. 2023 Aug 9;15(8):e43192. doi: 10.7759/cureus.43192. eCollection 2023 Aug.
Global surgery broadly refers to a rapidly expanding multidisciplinary field concerned with providing better and equitable surgical care across international health systems. Global surgery initiatives primarily focus on capacity building, advocacy, education, research, and policy development in low- and middle-income countries (LMICs). The inadequate surgical, anesthetic, and obstetric care currently contributes to 18 million preventable deaths each year. Hence, there is a growing interest in the rapid growth of artificial intelligence (AI) that provides a distinctive opportunity to enhance surgical services in LMICs. AI modalities have been used for personalizing surgical education, automating administrative tasks, and developing realistic and cost-effective simulation-training programs with provisions for people with special needs. Furthermore, AI may assist with providing insights for governance, infrastructure development, and monitoring/predicting stock take or logistics failure that can help in strengthening global surgery pillars. Numerous AI-assisted telemedicine-based platforms have allowed healthcare professionals to virtually assist in complex surgeries that may help to improve surgical accessibility across LMICs. Challenges in implementing AI technology include the misrepresentation of minority populations in the datasets leading to discriminatory bias. Human hesitancy, employment uncertainty, automation bias, and role of confounding factors need to be further studied for equitable utilization of AI. With a focused and evidence-based approach, AI could help several LMICs overcome bureaucratic inefficiency and develop more efficient surgical systems.
全球外科手术广义上指的是一个迅速发展的多学科领域,涉及在国际卫生系统中提供更好且公平的外科护理。全球外科手术倡议主要侧重于低收入和中等收入国家(LMICs)的能力建设、宣传、教育、研究和政策制定。目前,外科、麻醉和产科护理不足每年导致1800万可预防死亡。因此,人们对人工智能(AI)的快速发展越来越感兴趣,人工智能为加强低收入和中等收入国家的外科服务提供了独特机会。人工智能模式已被用于实现外科教育个性化、自动化行政任务,以及开发针对特殊需求人群的现实且具成本效益的模拟培训项目。此外,人工智能可协助为治理、基础设施发展以及监测/预测库存盘点或物流故障提供见解,这有助于强化全球外科手术的支柱。众多基于人工智能辅助远程医疗的平台使医疗保健专业人员能够在虚拟环境中协助进行复杂手术,这可能有助于提高低收入和中等收入国家的外科手术可及性。实施人工智能技术面临的挑战包括数据集中少数群体的代表性错误导致的歧视性偏见。为了公平利用人工智能,还需要进一步研究人类的犹豫态度、就业不确定性、自动化偏见以及混杂因素的作用。通过采取重点突出且基于证据的方法,人工智能可以帮助一些低收入和中等收入国家克服官僚主义低效率问题,建立更高效的外科手术系统。