ArticleCommunications medicine2024
Robotic scrub nurse to anticipate surgical instruments based on real-time laparoscopic video analysis.
Article in Communications medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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
9 citing papers in PubMed.
- Examining the Anxiety and Preparedness Levels of Nurses and Nurse Candidates for Artificial Intelligence Health Technologies.Journal of clinical nursing · 2026Article
- Artificial intelligence-supported segmentation of cardiac anatomy in open-heart surgery videos.Journal of robotic surgery · 2026Article
- Intelligent technologies in operating room nursing: A bibliometric analysis of research.International journal of nursing studies advances · 2026Article
- Action recognition in medical environments for robotic assistance.International journal of computer assisted radiology and surgery · 2026Article
- Nursing students metaphorical perceptions of the concept of "Artificial intelligence" and their views on the future of artificial intelligence.BMC nursing · 2025Article
- Enhancing surgical efficiency with an automated scrub nurse robot: a focus on automatic instrument insertion.International journal of computer assisted radiology and surgery · 2025Article
- Educational value of a high-definition three-dimensional extracorporeal telescope (exoscope) in lateral access spine surgery.Journal of spine surgery (Hong Kong) · 2025Article
- Artificial Intelligence in Neuroendovascular Therapy: Current Applications and Future Directions.Journal of neuroendovascular therapy · 2025Review
- The Fusion of Robotics and Imaging: A Vision of the Future.Methodist DeBakey cardiovascular journal · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMachine learning and robotics technologies are increasingly being used in the healthcare domain to improve the quality and efficiency of surgeries and to address challenges such as staff shortages. Robotic scrub nurses in particular offer great potential to address staff shortages by assuming nursing tasks such as the handover of surgical instruments.
methodsWe introduce a robotic scrub nurse system designed to enhance the quality of surgeries and efficiency of surgical workflows by predicting and delivering the required surgical instruments based on real-time laparoscopic video analysis. We propose a three-stage deep learning architecture consisting of a single frame-, temporal multi frame-, and informed model to anticipate surgical instruments. The anticipation model was trained on a total of 62 laparoscopic cholecystectomies.
resultsHere, we show that our prediction system can accurately anticipate 71.54% of the surgical instruments required during laparoscopic cholecystectomies in advance, facilitating a smoother surgical workflow and reducing the need for verbal communication. As the instruments in the left working trocar are changed less frequently and according to a standardized procedure, the prediction system works particularly well for this trocar.
conclusionsThe robotic scrub nurse thus acts as a mind reader and helps to mitigate staff shortages by taking over a great share of the workload during surgeries while additionally enabling an enhanced process standardization.
Identifiers
What OpenQuestion holds
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.