Enhancing Surgical Performance Through Automated Video Analysis Utilizing Computer Vision and Machine Learning.
Aim: Recent advancements in computer vision have enabled the development of automated systems that can assess surgeons' expertise with high accuracy using automated performance metrics (APMs). This study aims to evaluate and enhance surgical performance through the use of APMs. Method: This is a pro...
| Publicado en: | Turkish Journal of Colorectal Disease Vol. 35; no. 3; pp. 102 - 109 |
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| Autores principales: | , , , |
| Formato: | equations & formulas research Journal Article |
| Publicado: |
Galenos Yayinevi Tic. LTD. STI
Sep2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=188130459&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 188130459 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 25364898 KYKD jtl: Turkish Journal of Colorectal Disease issn: 25364898 maglogo: N pubinfo: dt: Sep2025 vid: 35 iid: 3 pid: 28155 pub: Galenos Yayinevi Tic. LTD. STI artinfo: ui: 188130459 188130459 188130459 10.4274/tjcd.galenos.2025.2025-6-6 188130459 ppf: 102 ppct: 7 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Enhancing Surgical Performance Through Automated Video Analysis Utilizing Computer Vision and Machine Learning. aug: au: El-Hussuna, Alaa Elhadi, Muhammed Møgelmose, Andreas Aljuaid, Hanan affil: OpenSourceResearch Collaboration, Aalborg, Denmark sug: subj: Surgery, Operative Machine Learning Utilization Computers and Computerization Utilization Clinical Competence Evaluation Surgeons Psychosocial Factors Videorecording Automation Utilization Human Male Female Peer Review Organizations Quality of Care Research Multicenter Studies Prospective Studies Laparoscopy Robotics Image Processing, Computer Assisted Descriptive Statistics ROC Curve Analysis of Variance Paired T-Tests Male Female ab: Aim: Recent advancements in computer vision have enabled the development of automated systems that can assess surgeons' expertise with high accuracy using automated performance metrics (APMs). This study aims to evaluate and enhance surgical performance through the use of APMs. Method: This is a prospective, quality-control, multicenter international cohort study. The primary outcome is the improvement of APMs extracted from two-dimensional laparoscopic or robotic colorectal procedure video films after feedback to the surgeons. The secondary outcome is the development of new metrics to measure the model's performance beyond simple accuracy. The collaborators will send 2-3 real-world video films of colorectal procedures they have performed. They will then receive feedback on their films, including an APM data analytics report. After the feedback, the collaborators will send 2-3 videos of the same colorectal procedures. Data analysis of APMs comparing pre- and post-feedback operations will follow. Conclusion: The study will enable efficient training programs within constrained working hours and address heightened ethical considerations regarding patient safety. Moreover, the training of surgeons in low- and middle-income countries will benefit from the results of this study, as they can improve their skills without the need to spend months to years training in developed countries. pubtype: Academic Journal doctype: equations & formulas research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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