Department of General and Visceral Surgery, Brandenburg Medical School, University Hospital Brandenburg/Havel, Hochstrasse 29, 14770, Brandenburg, Germany.
Vision and Imaging Technologies, Fraunhofer Heinrich-Hertz-Institut HHI, Einsteinufer 37, 10587, Berlin, Germany.
Langenbecks Arch Surg. 2023 Oct 16;408(1):405. doi: 10.1007/s00423-023-03134-6.
The integration of artificial intelligence (AI) into surgical laparoscopy has shown promising results in recent years. This survey aims to investigate the inconveniences of current conventional laparoscopy and to evaluate the attitudes and desires of surgeons in Germany towards new AI-based laparoscopic systems.
A 12-item web-based questionnaire was distributed to 38 German university hospitals as well as to a Germany-wide voluntary hospital association (CLINOTEL) consisting of 66 hospitals between July and November 2022.
A total of 202 questionnaires were completed. The majority of respondents (88.1%) stated that they needed one assistant during laparoscopy and rated the assistants' skillfulness as "very important" (39.6%) or "important" (49.5%). The most uncomfortable aspects of conventional laparoscopy were inappropriate camera movement (73.8%) and lens condensation (73.3%). Selected features that should be included in a new laparoscopic system were simple and intuitive maneuverability (81.2%), automatic de-fogging (80.7%), and self-cleaning of camera (77.2%). Furthermore, AI-based features were improvement of camera positioning (71.3%), visualization of anatomical landmarks (67.3%), image stabilization (66.8%), and tissue damage protection (59.4%). The reason for purchasing an AI-based system was to improve patient safety (86.1%); the reasonable price was €50.000-100.000 (34.2%), and it was expected to replace the existing assistants' workflow up to 25% (41.6%).
Simple and intuitive maneuverability with improved and image-stabilized camera guidance in combination with a lens cleaning system as well as AI-based augmentation of anatomical landmarks and tissue damage protection seem to be significant requirements for the further development of laparoscopic systems.
人工智能(AI)在手术腹腔镜中的应用近年来取得了可喜的成果。本调查旨在研究当前常规腹腔镜的不便之处,并评估德国外科医生对新型基于 AI 的腹腔镜系统的态度和期望。
2022 年 7 月至 11 月期间,我们向 38 家德国大学医院以及由 66 家医院组成的德国自愿医院协会(CLINOTEL)分发了一份包含 12 个项目的网络问卷调查。
共完成了 202 份问卷。大多数受访者(88.1%)表示在腹腔镜手术中需要一名助手,并将助手的熟练程度评为“非常重要”(39.6%)或“重要”(49.5%)。常规腹腔镜最不舒服的方面是不合适的摄像头运动(73.8%)和镜头冷凝(73.3%)。新腹腔镜系统应具备的功能包括简单直观的操控性(81.2%)、自动除雾(80.7%)和摄像头自清洁(77.2%)。此外,基于 AI 的功能还包括改善摄像头定位(71.3%)、可视化解剖标志(67.3%)、图像稳定化(66.8%)和组织损伤保护(59.4%)。购买基于 AI 的系统的原因是为了提高患者安全性(86.1%);合理的价格是 5 万至 10 万欧元(34.2%),预计将取代现有助手的工作流程的 25%(41.6%)。
简单直观的操控性,结合改良和图像稳定的摄像头引导以及基于 AI 的解剖标志增强和组织损伤保护,似乎是腹腔镜系统进一步发展的重要要求。