Prediction of remaining surgery duration based on machine learning methods and laparoscopic annotation data.

Journal: Biomedizinische Technik. Biomedical engineering
Published Date: Mar 24, 2025

Abstract

OBJECTIVES: The operating room is a fast-paced and demanding environment. Among the various factors involved in its optimization, predicting surgery duration is critical for scheduling and resource organization, ultimately resulting in improved quality of surgical care.

Authors

  • Spiros Kostopoulos
    Medical Image and Signal Processing Laboratory, Department of Biomedical Engineering, 523391 University of West Attica , Athens, Greece.
  • Dionisis Cavouras
    Medical Image and Signal Processing Laboratory, Department of Biomedical Engineering, 523391 University of West Attica , Athens, Greece.
  • Dimitris Glotsos
    Medical Image and Signal Processing Laboratory, Department of Biomedical Engineering, 523391 University of West Attica , Athens, Greece.
  • Constantinos Loukas
    Laboratory of Medical Physics, Medical School, National and Kapodistrian University of Athens, Athens, Greece. cloukas@med.uoa.gr.

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