Attention in surgical phase recognition for endoscopic pituitary surgery: Insights from real-world data.

Journal: Computers in biology and medicine
PMID: 40249993

Abstract

BACKGROUND AND OBJECTIVE: Surgical Phase Recognition systems are used to support the automated documentation of a procedure and to provide the surgical team with real-time feedback, potentially improving surgical outcome and reducing adverse events. The objective of this work is to develop a model for endoscopic pituitary surgery, a challenging procedure for phase recognition due to the high variability in the order of surgical phases.

Authors

  • Ángela González-Cebrián
    Computer Science and Engineering Department, Universidad Carlos III de Madrid, Madrid, Spain. Electronic address: angegonz@pa.uc3m.es.
  • Sara Bordonaba
    Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), Madrid, Spain. Electronic address: sara.bordonaba.imas12@h12o.es.
  • Javier Pascau
    Departamento de Bioingeniería, Universidad Carlos III de Madrid, Madrid, Spain.
  • Igor Paredes
    Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), Madrid, Spain; Department of Surgery, Faculty of Medicine, Universidad Complutense de Madrid, Madrid, Spain; NeuroSurgery Department, Hospital Universitario 12 de Octubre, Madrid, Spain. Electronic address: igorparedes@gmail.com.
  • Alfonso Lagares
    Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), Madrid, Spain; Department of Surgery, Faculty of Medicine, Universidad Complutense de Madrid, Madrid, Spain; NeuroSurgery Department, Hospital Universitario 12 de Octubre, Madrid, Spain. Electronic address: alfonsolagares@pdi.ucm.es.
  • Paula de Toledo

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