Wu Shangdi, Tang Ming, Liu Jie, Qin Dian, Wang Yuxian, Zhai Siwei, Bi Enxu, Li Yichuan, Wang Chunrong, Xiong Yong, Li Guangkuo, Gao Fengwei, Cai Yunqiang, Gao Pan, Wu Zhong, Cai He, Liu Jian, Chen Yonghua, Fang Chihua, Yao Li, Jiang Jingwen, Peng Bing, Wu Hong, Li Ang, Wang Xin
Department of General Surgery, Division of Pancreatic Surgery, West China Hospital of Sichuan University.
West China School of Medicine, West China Hospital of Sichuan University.
Int J Surg. 2024 Dec 1;110(12):7816-7823. doi: 10.1097/JS9.0000000000001798.
Laparoscopic cholecystectomy (LC) is the gold standard for treating symptomatic gallstones but carries inherent risks like bile duct injury. While the critical view of safety (CVS) is advocated to mitigate bile duct injury, its real-world adoption is limited. Additionally, significant variations in surgeon performance impede procedural standardization, highlighting the need for a feasible, innovative, and effective training approach. The aim of this study is to develop an artificial intelligence (AI)-assisted coaching program for LC to enhance surgical education and improve surgeon's performance.
The authors conducted a multicenter, randomized controlled trial from May 2022 to August 2023 to assess the impact of an AI-based coaching program, surgical coaching program, on novice performing LC. Surgeons and patients meeting specific inclusion criteria were randomly assigned to either a coaching group with AI-enhanced feedback or a self-learning group. The primary outcome was assessed using the Laparoscopic Cholecystectomy Rating Form, with secondary outcomes including surgical safety, efficiency, and adverse events. Statistical analyses were performed using SPSS, with significance set at a P -value less than 0.05.
Between May 2022 and August 2023, 22 surgeons were initially enrolled from 10 hospitals, with 18 completing the study. No demographic differences were noted between coaching and self-learning groups. In terms of surgical performance (Laparoscopic Cholecystectomy Rating Form scores), the coaching group showed significant improvement over time (31 to 40, P =0.008), outperforming the self-learning group by study end (40 vs 38, P =0.032). Significant improvements in CVS achievement were also noted in the coaching group (11% to 78%, P =0.021). Overall, the coaching program was well-received, outpacing traditional educational methods in both understanding and execution of CVS and participants in the intervention group expressed strong satisfaction with the program.
The AI-assisted surgical coaching program effectively improved surgical performance and safety for novice surgeons in LC procedures. The model holds significant promise for advancing surgical education.
腹腔镜胆囊切除术(LC)是治疗有症状胆结石的金标准,但存在胆管损伤等固有风险。虽然提倡采用安全关键视野(CVS)来减轻胆管损伤,但其在现实世界中的应用有限。此外,外科医生表现的显著差异阻碍了手术标准化,凸显了对可行、创新且有效的培训方法的需求。本研究的目的是开发一种用于LC的人工智能(AI)辅助指导计划,以加强外科教育并提高外科医生的表现。
作者于2022年5月至2023年8月进行了一项多中心随机对照试验,以评估基于AI的指导计划(手术指导计划)对进行LC的新手的影响。符合特定纳入标准的外科医生和患者被随机分配到接受AI增强反馈的指导组或自学组。主要结局使用腹腔镜胆囊切除术评分表进行评估,次要结局包括手术安全性、效率和不良事件。使用SPSS进行统计分析,显著性设定为P值小于0.05。
在2022年5月至2023年8月期间,最初从10家医院招募了22名外科医生,其中18名完成了研究。指导组和自学组在人口统计学上没有差异。在手术表现(腹腔镜胆囊切除术评分表得分)方面,指导组随时间有显著改善(从31分提高到40分,P = 0.008),到研究结束时优于自学组(40分对38分,P = 0.032)。指导组在实现CVS方面也有显著改善(从11%提高到78%,P = 0.021)。总体而言,指导计划受到好评,在CVS的理解和执行方面超过了传统教育方法,干预组的参与者对该计划表示高度满意。
AI辅助手术指导计划有效提高了新手外科医生在LC手术中的手术表现和安全性。该模式在推进外科教育方面具有重大前景。