ReviewHuman factors2025
Sensorimotor Challenges in Minimally Invasive Surgery: A Theoretically-Oriented Review.
Review in Human factors, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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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
7 citing papers in PubMed.
- Comparison of learning curves and cross-over effects using articulating laparoscopic instruments versus standard laparoscopic instruments.Surgical endoscopy · 2026Trial
- Robotic versus laparoscopic simulation training for laparoscopic skill acquisition in novices: a randomized controlled trial.Surgical endoscopy · 2026Article
- Motor learning with force feedback instruments among laparoscopic surgeons and residents.Journal of robotic surgery · 2026Article
- Laparoscopic training in porcine models: a tool for continuous professional skill enhancement for paediatric surgeons.Pediatric surgery international · 2026Article
- Optimizing AI implementation for surgery: recommendations for infrastructure and deployment in the operating room.NPJ digital medicine · 2026Article
- Evaluating and Classifying Gentleness in VR-Based Surgical Simulation: A VR + fNIRS Study.Sensors (Basel, Switzerland) · 2026Article
- Percutaneous endoscopy in the management of intra-abdominal complex disorders.BMC gastroenterology · 2025Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThis review surveys the literature on sensorimotor challenges impacting performance in laparoscopic minimally invasive surgery (MIS).
backgroundDespite its well-known benefits for patients, achieving proficiency in MIS can be challenging for surgeons due to many factors including altered visual perspectives and fulcrum effects in instrument handling. Research on these and other sensorimotor challenges has been hindered by imprecise terminology and the lack of a unified theoretical framework to guide research questions in the field.
methodWe conducted a systematic survey of the MIS literature, focusing on studies investigating sensorimotor challenges affecting laparoscopic performance. To provide a common foundation for cross-study comparisons, we propose a standardized taxonomy that distinguishes between different experimental paradigms used in the literature. We then show how the computational motor learning perspective provides a unifying theoretical framework for the field that can facilitate progress and motivate future research along clearer, hypothesis-driven lines.
resultsThe survey identified diverse sensorimotor perturbations in MIS, which can be effectively categorized according to our proposed taxonomy. Studies investigating monitor-, camera-, and tool-based perturbations were systematically analyzed, elucidating their impact on surgical performance. We also show how the computational motor learning perspective provides deeper insights and potential strategies to mitigate challenges.
conclusionSensorimotor challenges significantly impact MIS, necessitating a systematic, empirically informed approach. Our proposed taxonomy and theoretical framework shed light on the complexities involved, paving the way for more structured research and targeted training approaches to enhance surgical proficiency. APPLICATION: Understanding the sensorimotor challenges inherent to MIS can guide the design of improved training curricula and inform the configuration of setups in the operating room to enhance surgeon performance and ultimately patient outcomes. This review offers key insights for surgeons, educators, and researchers in surgical performance and technology development.
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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.