探讨智能化辅助图像实时去雾技术在腹腔镜胆囊切除术（LC）中的应用价值。

回顾性分析2022年9月至2023年4月在西安交通大学第一附属医院行LC治疗的128例胆结石患者临床资料。其中男78例，女40例；年龄31～66岁，中位年龄53岁。患者均签署知情同意书，符合医学伦理学规定。患者LC利用智能化辅助手段在对图像进行识别处理，记录智能化设备识别出的不同级别雾气等级、持续时间，并记录去雾时间。实际烟雾持续时间与智能化图像识别时间比较采用秩和检验。

患者术中烟雾持续存在时间8～17 min，中位时间13 min；术中取出镜子擦拭3～11次，中位次数6次；总体用时69～230 s，中位时间141 s。经过智能化去雾系统应用可有效识别术中产生雾气的级别，并根据需要进行雾气去除；单帧图像处理时间0.02～0.08 s，中位时间0.04 s，图像处理成功率97%（15 522/16 000），可有效节省术中图像去雾时间（Z=-2.167，P<0.05）。

智能化辅助图像实时去雾技术在LC术中应用是安全、可行的，可有效处理术中的雾气，利于术者更清晰地识别手术边界，提高手术效率，减少并发症发生。

To evaluate the application of intelligent auxiliary real-time image defogging technology in laparoscopic cholecystectomy (LC).

Clinical data of 128 patients with gallstones treated with LC in the First Affiliated Hospital of Xi'an Jiaotong University from September 2022 to April 2023 were retrospectively analyzed. Among them, 78 patients were male and 40 female, aged from 31 to 66 years, with a median age of 53 years. The informed consents of all patients were obtained and the local ethical committee approval was received. Intelligent auxiliary technology was adopted to identify and process the images. The grades and duration of different levels of fog identified by intelligent equipment were recorded. The defogging time was also recorded. The actual duration of fog and that identified by intelligent images were compared by the rank-sum test.

The duration of fog was ranged from 8 to 17 min, with a median duration of 13 min. Intraoperatively, the laparoscope was wiped for 3-11 times, with a median of6 times. The overall used time was 69-230 s, with a median time of 141 s. Application of intelligent defogging system could effectively identify the grade of fog generated during LC, and remove the fog as required. The processing time of single-frame image was 0.02-0.08 s, with a median time of 0.04 s. The success rate of image processing was 97%(15 522/16 000), which effectively shortened intraoperative image defogging time (Z=-2.167, P<0.05).

Intelligent auxiliary real-time image defogging technology is safe and feasible in LC, which can effectively process intraoperative fog, assist the surgeons to identify surgical margins, enhance surgical efficiency and lower the incidence of complications.