ArticleComputational and mathematical methods in medicine2018
Feasibility of an AI-Based Measure of the Hand Motions of Expert and Novice Surgeons.
Article in Computational and mathematical methods in medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.
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Who cites it
20 citing papers in PubMed, 1 synthesis or guideline pooled it, 54 citations in OpenAlex.
- Technical skill assessment in minimally invasive surgery using artificial intelligence: a systematic review.Surgical endoscopy · 2023Pooled it
- Machine Learning Models for Objective Assessment of Vascular Anastomoses Using Computational Fluid Dynamics for Surgical Skill Training-A Retrospective Study.Journal of clinical medicine · 2026Article
- Developing and evaluating image-based metrics for open surgical suturing skill assessment.Global surgical education : journal of the Association for Surgical Education · 2026Article
- Artificial Intelligence in Medical Education: a Scoping Review of the Evidence for Efficacy and Future Directions.Medical science educator · 2025Review
- Artificial intelligence in clinical practice: a cross-sectional survey of paediatric surgery residents' perspectives.BMJ health & care informatics · 2025Article
- Artificial intelligence facilitates the potential of simulator training: An innovative laparoscopic surgical skill validation system using artificial intelligence technology.International journal of computer assisted radiology and surgery · 2025Article
- Review
- Systematic review of machine learning applications using nonoptical motion tracking in surgery.NPJ digital medicine · 2025Article
- Laparoscopic distal gastrectomy skill evaluation from video: a new artificial intelligence-based instrument identification system.Scientific reports · 2024Article
- Expert-Novice Level Classification Using Graph Convolutional Network Introducing Confidence-Aware Node-Level Attention Mechanism.Sensors (Basel, Switzerland) · 2024Article
- Educational challenges and opportunities for the future generation of surgeons: a scoping review.Langenbeck's archives of surgery · 2024Article
- Craniotomy Simulator with Force Myography and Machine Learning-Based Skills Assessment.Bioengineering (Basel, Switzerland) · 2023Article
- Telemedicine and Artificial Intelligence in the Management of Endometriosis: Future Forecast Considering Current Progress.Geburtshilfe und Frauenheilkunde · 2023Article
- Laparoscopic and Robot-Assisted Hepatic Surgery: An Historical Review.Journal of clinical medicine · 2022Review
- Machine learning for technical skill assessment in surgery: a systematic review.NPJ digital medicine · 2022Review
- Video-Rated Performance Assessment of Simulated Laparoscopic Sleeve Gastrectomy: Validation of a Sleeve Gastrectomy Rating Scale.Obesity surgery · 2021Observational
- Motion analysis of the JHU-ISI Gesture and Skill Assessment Working Set II: learning curve analysis.International journal of computer assisted radiology and surgery · 2021Article
- Motion analysis of the JHU-ISI Gesture and Skill Assessment Working Set using Robotics Video and Motion Assessment Software.International journal of computer assisted radiology and surgery · 2020Article
- [Artificial intelligence in pediatric surgery : Present and future].Der Chirurg; Zeitschrift fur alle Gebiete der operativen Medizen · 2020Review
- Machine learning methods for automated technical skills assessment with instructional feedback in ultrasound-guided interventions.International journal of computer assisted radiology and surgery · 2019Article
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study investigated whether parameters derived from hand motions of expert and novice surgeons accurately and objectively reflect laparoscopic surgical skill levels using an artificial intelligence system consisting of a three-layer chaos neural network. Sixty-seven surgeons (23 experts and 44 novices) performed a laparoscopic skill assessment task while their hand motions were recorded using a magnetic tracking sensor. Eight parameters evaluated as measures of skill in a previous study were used as inputs to the neural network. Optimization of the neural network was achieved after seven trials with a training dataset of 38 surgeons, with a correct judgment ratio of 0.99. The neural network that prospectively worked with the remaining 29 surgeons had a correct judgment rate of 79% for distinguishing between expert and novice surgeons. In conclusion, our artificial intelligence system distinguished between expert and novice surgeons among surgeons with unknown skill levels.
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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.