ReviewVisceral medicine2020
Computer Vision in the Surgical Operating Room.
Review in Visceral medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
27 citing papers in PubMed, 2 syntheses or guidelines pooled it, 64 citations in OpenAlex.
- Operating Room Performance Optimization Metrics: a Systematic Review.Journal of medical systems · 2023Pooled it
- Clear Vision, Clear Savings: Enhancing Efficiency in Minimally Invasive Surgery.JSLS : Journal of the Society of Laparoendoscopic SurgeonsPooled it
- Analysis and mitigation of equipment-induced shortcuts in AI models for laparoscopic cholecystectomy.PLOS digital health · 2026Article
- Artificial intelligence in emergency surgery: a scoping review within the artificial intelligence in emergency and trauma surgery (ARIES) project.World journal of emergency surgery : WJES · 2026Article
- Artificial Intelligence and Digital Tools Across the Hepato-Pancreato-Biliary Surgical Pathway: A Systematic Review.Journal of clinical medicine · 2025Review
- Training-free temporal object tracking in surgical videos.International journal of computer assisted radiology and surgery · 2025Article
- Hyperspectral imaging in neurosurgery: a review of systems, computational methods, and clinical applications.Journal of biomedical optics · 2025Review
- Applications, image analysis, and interpretation of computer vision in medical imaging.Frontiers in radiology · 2025Review
- Human-Computer Vision Collaborative Measurement of Surgical Exposure and Length in Endonasal Endoscopic Skull Base Surgery.IEEE open journal of engineering in medicine and biology · 2025Article
- Artificial intelligence in robot-assisted radical prostatectomy: where do we stand today?Journal of robotic surgery · 2024Review
- Application of deep learning for semantic segmentation in robotic prostatectomy: Comparison of convolutional neural networks and visual transformers.Investigative and clinical urology · 2024Article
- Collaborative Human-Computer Vision Operative Video Analysis Algorithm for Analyzing Surgical Fluency and Surgical Interruptions in Endonasal Endoscopic Pituitary Surgery: Cohort Study.Journal of medical Internet research · 2024Article
- Deep Learning Model for Real‑time Semantic Segmentation During Intraoperative Robotic Prostatectomy.European urology open science · 2024Article
- Applied Artificial Intelligence in Healthcare: A Review of Computer Vision Technology Application in Hospital Settings.Journal of imaging · 2024Review
- Enhancing surgical performance in cardiothoracic surgery with innovations from computer vision and artificial intelligence: a narrative review.Journal of cardiothoracic surgery · 2024Review
- Bias in AI-based models for medical applications: challenges and mitigation strategies.NPJ digital medicine · 2023Article
- Shifted-windows transformers for the detection of cerebral aneurysms in microsurgery.International journal of computer assisted radiology and surgery · 2023Article
- Artificial intelligence and automation in endoscopy and surgery.Nature reviews. Gastroenterology & hepatology · 2023Review
- Computer-vision based analysis of the neurosurgical scene - A systematic review.Brain & spine · 2023Review
- MSDESIS: Multitask Stereo Disparity Estimation and Surgical Instrument Segmentation.IEEE transactions on medical imaging · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMultiple types of surgical cameras are used in modern surgical practice and provide a rich visual signal that is used by surgeons to visualize the clinical site and make clinical decisions. This signal can also be used by artificial intelligence (AI) methods to provide support in identifying instruments, structures, or activities both in real-time during procedures and postoperatively for analytics and understanding of surgical processes. SUMMARY: In this paper, we provide a succinct perspective on the use of AI and especially computer vision to power solutions for the surgical operating room (OR). The synergy between data availability and technical advances in computational power and AI methodology has led to rapid developments in the field and promising advances. KEY MESSAGES: With the increasing availability of surgical video sources and the convergence of technologies around video storage, processing, and understanding, we believe clinical solutions and products leveraging vision are going to become an important component of modern surgical capabilities. However, both technical and clinical challenges remain to be overcome to efficiently make use of vision-based approaches into the clinic.
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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.