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...

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Publicado en:Turkish Journal of Colorectal Disease Vol. 35; no. 3; pp. 102 - 109
Autores principales: El-Hussuna, Alaa, Elhadi, Muhammed, Møgelmose, Andreas, Aljuaid, Hanan
Formato: equations & formulas research Journal Article
Publicado: Galenos Yayinevi Tic. LTD. STI Sep2025
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Sep2025
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      pub: Galenos Yayinevi Tic. LTD. STI
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        10.4274/tjcd.galenos.2025.2025-6-6
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        atl: Enhancing Surgical Performance Through Automated Video Analysis Utilizing Computer Vision and Machine Learning.
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        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
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