ArticleFrontiers in robotics and AI2022
Robotic Endoscope Control Via Autonomous Instrument Tracking.
Article in Frontiers in robotics and AI, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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.
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Who cites it
11 citing papers in PubMed.
- An Expertise Transfer Framework For Autonomous Surgical Assistance.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Iterative trocar-constrained laparoscope viewpoint search for enhanced surface coverage in 3D reconstruction.Scientific reports · 2026Article
- Surgeon-authorized natural-language and instrument-tracking shared control for robotic laparoscope holding: the EndoVISTA simulator and porcine feasibility study.Journal of robotic surgery · 2026Article
- Eye-hand coordination during robotic prostate cancer surgery - how surgical vision reflects on instrument kinematics and vice versa.Journal of robotic surgery · 2026Article
- Autonomous RCM-less endoscope control: integrating force-based pivoting with deep learning visual servoing.Scientific reports · 2026Article
- ROBUST-MIPS: A Combined Skeletal Pose and Instance Segmentation Dataset for Laparoscopic Surgical Instruments.Scientific data · 2026Article
- Artificial Intelligence in Minimally Invasive and Robotic Gastrointestinal Surgery: Major Applications and Recent Advances.Journal of personalized medicine · 2026Review
- Artificial Intelligence and Digital Tools Across the Hepato-Pancreato-Biliary Surgical Pathway: A Systematic Review.Journal of clinical medicine · 2025Review
- Endoscope Automation Framework with Hierarchical Control and Interactive Perception for Multi-Tool Tracking in Minimally Invasive Surgery.Sensors (Basel, Switzerland) · 2023Article
- Rapid and robust endoscopic content area estimation: A lean GPU-based pipeline and curated benchmark dataset.Computer methods in biomechanics and biomedical engineering. Imaging & visualization · 2023Article
- Artificial intelligence and automation in endoscopy and surgery.Nature reviews. Gastroenterology & hepatology · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
Many keyhole interventions rely on bi-manual handling of surgical instruments, forcing the main surgeon to rely on a second surgeon to act as a camera assistant. In addition to the burden of excessively involving surgical staff, this may lead to reduced image stability, increased task completion time and sometimes errors due to the monotony of the task. Robotic endoscope holders, controlled by a set of basic instructions, have been proposed as an alternative, but their unnatural handling may increase the cognitive load of the (solo) surgeon, which hinders their clinical acceptance. More seamless integration in the surgical workflow would be achieved if robotic endoscope holders collaborated with the operating surgeon
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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.