ArticleIEEE transactions on medical robotics and bionics2021
Computer Vision in the Operating Room: Opportunities and Caveats.
Article in IEEE transactions on medical robotics and bionics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis 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
21 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The Role of the Cardiothoracic Surgeon in the Age of AI-Are the Robots Going to Take Our Jobs?Medical sciences (Basel, Switzerland) · 2026Pooled it
- The first reported case using real-time artificial intelligence with single-port robotics for colorectal surgery.Surgical endoscopy · 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
- Towards automatic quantification of operating table interaction in operating rooms.International journal of computer assisted radiology and surgery · 2025Article
- Artificial Intelligence in Thoracic Surgery: A Review Bridging Innovation and Clinical Practice for the Next Generation of Surgical Care.Journal of clinical medicine · 2025Review
- Artificial Intelligence for Patient Safety and Surgical Education in Neurosurgery.JMA journal · 2025Review
- Artificial Intelligence in Cardiac Surgery: Transforming Outcomes and Shaping the Future.Clinics and practice · 2025Review
- NeRF-OR: neural radiance fields for operating room scene reconstruction from sparse-view RGB-D videos.International journal of computer assisted radiology and surgery · 2025Article
- Applied Artificial Intelligence in Healthcare: A Review of Computer Vision Technology Application in Hospital Settings.Journal of imaging · 2024Review
- Behavioral sciences applied to acute care teams: a research agenda for the years ahead by a European research network.BMC health services research · 2024Article
- SAGES consensus recommendations on surgical video data use, structure, and exploration (for research in artificial intelligence, clinical quality improvement, and surgical education).Surgical endoscopy · 2023Article
- Full-Perception Robotic Surgery Environment with Anti-Occlusion Global-Local Joint Positioning.Sensors (Basel, Switzerland) · 2023Article
- An integration of hybrid MCDA framework to the statistical analysis of computer-based health monitoring applications.Frontiers in public health · 2023Article
- Cloud Based AI-Driven Video Analytics (CAVs) in Laparoscopic Surgery: A Step Closer to a Virtual Portfolio.Cureus · 2022Article
- Artificial Intelligence in Colorectal Cancer Surgery: Present and Future Perspectives.Cancers · 2022Review
- The future of Cardiothoracic surgery in Artificial intelligence.Annals of medicine and surgery (2012) · 2022Review
- Assessing Team Situational Awareness in the Operating Room via Computer Vision.IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA) · 2022Article
- Article
- The future of artificial intelligence in neurosurgery: A narrative review.Surgical neurology international · 2022Review
- Artificial Intelligence Surgery: How Do We Get to Autonomous Actions in Surgery?Sensors (Basel, Switzerland) · 2021Review
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
Effectiveness of computer vision techniques has been demonstrated through a number of applications, both within and outside healthcare. The operating room environment specifically is a setting with rich data sources compatible with computational approaches and high potential for direct patient benefit. The aim of this review is to summarize major topics in computer vision for surgical domains. The major capabilities of computer vision are described as an aid to surgical teams to improve performance and contribute to enhanced patient safety. Literature was identified through leading experts in the fields of surgery, computational analysis and modeling in medicine, and computer vision in healthcare. The literature supports the application of computer vision principles to surgery. Potential applications within surgery include operating room vigilance, endoscopic vigilance, and individual and team-wide behavioral analysis. To advance the field, we recommend collecting and publishing carefully annotated datasets. Doing so will enable the surgery community to collectively define well-specified common objectives for automated systems, spur academic research, mobilize industry, and provide benchmarks with which we can track progress. Leveraging computer vision approaches through interdisciplinary collaboration and advanced approaches to data acquisition, modeling, interpretation, and integration promises a powerful impact on patient safety, public health, and financial costs.
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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.