More Than Meets the Eye: Analyzing Anesthesiologists’ Visual Attention in the Operating Room Using Deep Learning Models

Sapir Gershov, Fadi Mahameed, Aeyal Raz, Shlomi Laufer

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Patient’s vital signs, which are displayed on monitors, make the anesthesiologist’s visual attention (VA) a key component in the safe management of patients under general anesthesia; moreover, the distribution of said VA and the ability to acquire specific cues throughout the anesthetic, may have a direct impact on patient’s outcome. Currently, most studies employ wearable eye-tracking technologies to analyze anesthesiologists’ visual patterns. Albeit being able to produce meticulous data, wearable devices are not a sustainable solution for large-scale or long-term use for data collection in the operating room (OR). Thus, by utilizing a novel eye-tracking method in the form of deep learning models that process monitor-mounted webcams, we collected continuous behavioral data and gained insight into the anesthesiologist’s VA distribution with minimal disturbance to their natural workflow. In this study, we collected OR video recordings using the proposed framework and compared different visual behavioral patterns. We distinguished between baseline VA distribution during uneventful periods to patterns associated with active phases or during critical, unanticipated incidents. In the future, such a platform may serve as a crucial component of context-aware assistive technologies in the OR.

Original languageEnglish
Title of host publicationInternational Workshop on PRedictive Intelligence In MEdicine
Subtitle of host publicationPRIME 2023 - Predictive Intelligence in Medicine
EditorsIslem Rekik, Ehsan Adeli, Sang Hyun Park, Celia Cintas, Ghada Zamzmi
Pages253-264
Number of pages12
DOIs
StatePublished - 2023
Event6th International Workshop on PRedictive Intelligence In MEdicine, PRIME 2023 - Vancouver, Canada
Duration: 8 Oct 20238 Oct 2023

Publication series

NameLecture Notes in Computer Science
PublisherSpringerLink
Volume14277
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference6th International Workshop on PRedictive Intelligence In MEdicine, PRIME 2023
Country/TerritoryCanada
CityVancouver
Period8/10/238/10/23

Keywords

  • Anesthesia
  • Human activity recognition
  • Monitoring
  • Operating room
  • Visual attention
  • Webcam
  • context awareness

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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