Literature DB >> 30071712

Potential of eye tracking technology for assessment of performance and medical education in the field of anesthesia.

Eunsoo Kim1.   

Abstract

Entities:  

Year:  2018        PMID: 30071712      PMCID: PMC6078873          DOI: 10.4097/kja.d.18.00177

Source DB:  PubMed          Journal:  Korean J Anesthesiol        ISSN: 2005-6419


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Eye tracking refers to the process of measuring either the gaze point or eye movement while an individual performs a task [1]. These measurements are performed by a device or computer equipped with an eye tracker, which consists of cameras, and projectors and utilizes image processing algorithms. In conjunction with ongoing advances in eye tracking methods and equipment, eye tracking technology has been applied in a growing number of diverse fields including psychology, neuroscience, marketing, product design, automotive research, and medicine [2]. In all of these fields, eye tracking technology is utilized on the basis of a relationship between what a subject is looking at and what he or she is paying attention to or thinking about at that point in time. In the medical field, eye tracking has long been used as a useful tool in medical diagnosis, especially mental diseases such as schizophrenia [3], bipolar disorder [4], attention deficit hyperactivity disorder (ADHD) [5], autism [6] and Alzheimer’s disease [7]. Various eye tracking techniques have been used for diagnostic purposes, ranging from simple methods such as pro-saccadic tasks, anti-saccadic tasks, and smooth pursuit tasks to more complicated methods such as visual search tasks and free observation [8]. While numerous studies have investigated the use of eye tracking to diagnose various diseases [3-7,9,10], its role in medical therapy and treatment has not been well established due to a relative lack of evidence. Patients with locked-in state amyotrophic lateral sclerosis (ALS) can use an eye tracking assistive device to communicate with their caregivers. This can improve quality of life in ALS patients, and reduce the burden on caregivers [11]. An eye tracker can reportedly help patients with eye cancer during radiotherapy by reducing the target volume size and concentrating the radiation beam on the lesion [12]. A recent clinical trial investigated the feasibility of early attention skill training via novel eye tracking technology and gaze-contingent training paradigms in infants at familial risk of ADHD [13]. Eye tracking technology can also reportedly yield information that is used for differentiating novices from experts by analyzing their visual patterns [14-17]. One systematic review suggests that eye tracking technology may be reliable tool for the assessment of surgeon skill [14]. In another study investigating chest X-ray interpretation for pneumothorax, it was found that the diagnostic accuracy of pneumothorax increased with experience, and that parameters derived from eye tracking were also significantly associated with diagnostic accuracy [15]. In the field of anesthesia, analysis of visual attention via eye tracking technology may be useful for the assessment of performance in ultrasound-guided regional anesthesia (UGRA). Harrison et al. [16] examined gaze-fixation heat map for comparing procedural expertise while performing simulated UGRA. In another study, Borg et al. [17] investigated the area of interest of anesthesiologists who were asked a standardized anatomy-based question related to ultrasound image that may be commonly encountered during UGRA. These studies presented that experts spent less unfocused time away a target compared to novices. Similarly, Schulz et al. [18] investigated the impact of experience on performance, physiological workload indicators, and distribution of visual attention during simulated critical incidents. In this issue, King et al. [19] utilized eye tracking technology in a comparative evaluation of five malignant hyperthermia cognitive aids. This method may provide useful data for the development of new cognitive aids that could be helpful for patient care during critical events. In addition, a better understanding of the relationship between visual attention, situational awareness, and performance may result in improved monitoring interfaces and enhanced usability of anesthesia machines in the workplace [20,21]. In the field of anesthesia, the currently available evidence suggests that eye tracking is a promising area of research in terms of performance assessment and improvement of healthcare provider training.
  19 in total

1.  Evaluation of two new ecological interface approaches for the anesthesia workplace.

Authors:  A Jungk; B Thull; A Hoeft; G Rau
Journal:  J Clin Monit Comput       Date:  2000       Impact factor: 2.502

2.  Preliminary Experience Using Eye-Tracking Technology to Differentiate Novice and Expert Image Interpretation for Ultrasound-Guided Regional Anesthesia.

Authors:  Lindsay K Borg; T Kyle Harrison; Alex Kou; Edward R Mariano; Ankeet D Udani; T Edward Kim; Cynthia Shum; Steven K Howard
Journal:  J Ultrasound Med       Date:  2017-08-04       Impact factor: 2.153

3.  Attentional biases toward emotional images in the different episodes of bipolar disorder: an eye-tracking study.

Authors:  Ana García-Blanco; Ladislao Salmerón; Manuel Perea; Lorenzo Livianos
Journal:  Psychiatry Res       Date:  2014-01-03       Impact factor: 3.222

4.  Detection of third and sixth cranial nerve palsies with a novel method for eye tracking while watching a short film clip.

Authors:  Uzma Samadani; Sameer Farooq; Robert Ritlop; Floyd Warren; Marleen Reyes; Elizabeth Lamm; Anastasia Alex; Elena Nehrbass; Radek Kolecki; Michael Jureller; Julia Schneider; Agnes Chen; Chen Shi; Neil Mendhiratta; Jason H Huang; Meng Qian; Roy Kwak; Artem Mikheev; Henry Rusinek; Ajax George; Robert Fergus; Douglas Kondziolka; Paul P Huang; R Theodore Smith
Journal:  J Neurosurg       Date:  2014-12-12       Impact factor: 5.115

5.  Atypical Visual Saliency in Autism Spectrum Disorder Quantified through Model-Based Eye Tracking.

Authors:  Shuo Wang; Ming Jiang; Xavier Morin Duchesne; Elizabeth A Laugeson; Daniel P Kennedy; Ralph Adolphs; Qi Zhao
Journal:  Neuron       Date:  2015-10-22       Impact factor: 17.173

6.  High-throughput classification of clinical populations from natural viewing eye movements.

Authors:  Po-He Tseng; Ian G M Cameron; Giovanna Pari; James N Reynolds; Douglas P Munoz; Laurent Itti
Journal:  J Neurol       Date:  2012-08-25       Impact factor: 4.849

7.  Eye tracking during a visual paired comparison task as a predictor of early dementia.

Authors:  Michael D Crutcher; Rose Calhoun-Haney; Cecelia M Manzanares; James J Lah; Allan I Levey; Stuart M Zola
Journal:  Am J Alzheimers Dis Other Demen       Date:  2009-02-26       Impact factor: 2.035

8.  Attention training for infants at familial risk of ADHD (INTERSTAARS): study protocol for a randomised controlled trial.

Authors:  Amy Goodwin; Simona Salomone; Patrick Bolton; Tony Charman; Emily J H Jones; Andrew Pickles; Emily Robinson; Tim Smith; Edmund J S Sonuga-Barke; Sam Wass; Mark H Johnson
Journal:  Trials       Date:  2016-12-28       Impact factor: 2.279

9.  Comparative usability of modern anaesthesia ventilators: a human factors study.

Authors:  J Spaeth; T Schweizer; A Schmutz; H Buerkle; S Schumann
Journal:  Br J Anaesth       Date:  2017-11-01       Impact factor: 9.166

10.  Using eye tracking technology to compare the effectiveness of malignant hyperthermia cognitive aid design.

Authors:  Roderick King; Jaber Hanhan; T Kyle Harrison; Alex Kou; Steven K Howard; Lindsay K Borg; Cynthia Shum; Ankeet D Udani; Edward R Mariano
Journal:  Korean J Anesthesiol       Date:  2018-05-15
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  2 in total

1.  Eye-Tracking Technology to Determine Procedural Proficiency in Ultrasound-Guided Regional Anesthesia.

Authors:  G Andrew Wright; Rahool Patel; Koraly Perez-Edgar; Xiaoxue Fu; Kayla Brown; Sanjib Adhikary; Adrian Zurca
Journal:  J Educ Perioper Med       Date:  2022-01-01

2.  When medical trainees encountering a performance difficulty: evidence from pupillary responses.

Authors:  Xin Liu; Yerly Paola Sanchez Perdomo; Bin Zheng; Xiaoqin Duan; Zhongshi Zhang; Dezheng Zhang
Journal:  BMC Med Educ       Date:  2022-03-19       Impact factor: 2.463

  2 in total

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