Trial reportSurgical endoscopy2018
First experience with THE AUTOLAP™ SYSTEM: an image-based robotic camera steering device.
Trial report in Surgical endoscopy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
16 citing papers in PubMed, 36 citations in OpenAlex.
- Efficiency in image-guided robotic and conventional camera steering: a prospective randomized controlled trial.Surgical endoscopy · 2022Trial
- Ergonomics in handheld and robot-assisted camera control: a randomized controlled trial.Surgical endoscopy · 2019Trial
- Novel Minimally Invasive Surgical Approaches to Endometriosis and Adenomyosis: A Comprehensive Review.Journal of clinical medicine · 2024Review
- Autonomous Robotic Systems in Otolaryngology-Head and Neck Surgery.Otolaryngologic clinics of North America · 2024Review
- User interfaces for actuated scope maneuvering in surgical systems: a scoping review.Surgical endoscopy · 2023Article
- Image-based laparoscopic camera steering versus conventional steering: a comparison study.Journal of robotic surgery · 2022Article
- Development and Validation of a Model for Laparoscopic Colorectal Surgical Instrument Recognition Using Convolutional Neural Network-Based Instance Segmentation and Videos of Laparoscopic Procedures.JAMA network open · 2022Article
- Autonomous robotic laparoscopic surgery for intestinal anastomosis.Science robotics · 2022Article
- Robotic Endoscope Control Via Autonomous Instrument Tracking.Frontiers in robotics and AI · 2022Article
- Artificial intelligence-based computer vision in surgery: Recent advances and future perspectives.Annals of gastroenterological surgery · 2022Review
- A learning robot for cognitive camera control in minimally invasive surgery.Surgical endoscopy · 2021Article
- Automating Endoscope Motion in Robotic Surgery: A Usability Study on da Vinci-AssistedFrontiers in robotics and AI · 2021Article
- Object extraction via deep learning-based marker-free tracking framework of surgical instruments for laparoscope-holder robots.International journal of computer assisted radiology and surgery · 2020Article
- A robotic flexible endoscope with shared autonomy: a study of mockup cholecystectomy.Surgical endoscopy · 2020Article
- Adaptive Fusion-Based Autonomous Laparoscope Control for Semi-Autonomous Surgery.Journal of medical systems · 2019Article
- Comparative effectiveness of human scope assistant versus robotic scope holder in laparoscopic resection for colorectal cancer.Surgical endoscopy · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 5 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundRobotic camera holders for endoscopic surgery have been available for 20 years but market penetration is low. The current camera holders are controlled by voice, joystick, eyeball tracking, or head movements, and this type of steering has proven to be successful but excessive disturbance of surgical workflow has blocked widespread introduction. The Autolap™ system (MST, Israel) uses a radically different steering concept based on image analysis. This may improve acceptance by smooth, interactive, and fast steering. These two studies were conducted to prove safe and efficient performance of the core technology.
methodsA total of 66 various laparoscopic procedures were performed with the AutoLap™ by nine experienced surgeons, in two multi-center studies; 41 cholecystectomies, 13 fundoplications including hiatal hernia repair, 4 endometriosis surgeries, 2 inguinal hernia repairs, and 6 (bilateral) salpingo-oophorectomies. The use of the AutoLap™ system was evaluated in terms of safety, image stability, setup and procedural time, accuracy of imaged-based movements, and user satisfaction.
resultsSurgical procedures were completed with the AutoLap™ system in 64 cases (97%). The mean overall setup time of the AutoLap™ system was 4 min (04:08 ± 0.10). Procedure times were not prolonged due to the use of the system when compared to literature average. The reported user satisfaction was 3.85 and 3.96 on a scale of 1 to 5 in two studies. More than 90% of the image-based movements were accurate. No system-related adverse events were recorded while using the system.
conclusionSafe and efficient use of the core technology of the AutoLap™ system was demonstrated with high image stability and good surgeon satisfaction. The results support further clinical studies that will focus on usability, improved ergonomics and additional image-based features.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.