Eye-tracking technology in medical education: A systematic review

2017 ◽  
Vol 40 (1) ◽  
pp. 62-69 ◽  
Author(s):  
Hajra Ashraf ◽  
Mikael H. Sodergren ◽  
Nabeel Merali ◽  
George Mylonas ◽  
Harsimrat Singh ◽  
...  
Keyword(s):  
Systematic Review ◽  
Medical Education ◽  
Eye Tracking ◽  
Tracking Technology

Eye tracking technology in sports-related concussion: a systematic review and meta-analysis

2018 ◽  
Vol 39 (12) ◽  
pp. 12TR01 ◽  
Author(s):  
N Snegireva ◽  
W Derman ◽  
J Patricios ◽  
K E Welman
Keyword(s):  
Systematic Review ◽  
Eye Tracking ◽  
Meta Analysis ◽  
Tracking Technology

Eye-Tracking Technology in Plastic and Reconstructive Surgery: A Systematic Review

2020 ◽  
Vol 40 (9) ◽  
pp. 1022-1034
Author(s):  
Malke Asaad ◽  
Jacob K Dey ◽  
Ahmad Al-Mouakeh ◽  
Mohamad Baraa Manjouna ◽  
Mohammad A Nashed ◽  
...  
Keyword(s):  
Systematic Review ◽  
Eye Tracking ◽  
Reconstructive Surgery ◽  
Cleft Lip ◽  
Meta Analysis ◽  
Objective Assessment ◽  
Inclusion Criteria ◽  
Plastic And Reconstructive Surgery ◽  
Gaze Patterns ◽  
Tracking Technology

Abstract Background The use of eye-tracking technology in plastic surgery has gained popularity over the past decade due to its ability to assess observers’ visual preferences in an objective manner. Objectives The goal of this study was to provide a comprehensive review of eye-tracking studies in plastic and reconstructive surgery, which can aid in the design and conduct of high-quality eye-tracking studies. Methods Through application of Preferred Reporting Items for Systematic review and Meta-Analysis (PRISMA) guidelines, a comprehensive search of articles published on eye-tracking across several databases was conducted from January 1946 to January 2019. Inclusion criteria included studies evaluating the use of eye-tracking technology in the field of plastic and reconstructive surgery. The resulting publications were screened by 2 independent reviewers. Results A total of 595 articles were identified, 23 of which met our inclusion criteria. The most common application of eye-tracking was to assess individuals with cleft lip/palate (9 studies). All 19 studies that evaluated fixation patterns among conditions vs controls reported significant differences between the 2 groups. Five out of 7 studies assessing visual data between preoperative and postoperative patients identified significant differences between the preoperative and postoperative groups, whereas 2 studies did not. Nine studies examined the relation between severity indices, attractiveness scores, or personality ratings and gaze patterns. Correlation was found in 7 out of the 9 studies. Conclusions This systematic review demonstrates the utility of eye-tracking technology as a quantifiable objective assessment and emerging research tool for evaluating outcomes in several domains of plastic and reconstructive surgery.

scholarly journals The Contribution of Machine Learning and Eye-Tracking Technology in Autism Spectrum Disorder Research: A Systematic Review

Electronics ◽  
2021 ◽  
Vol 10 (23) ◽  
pp. 2982
Author(s):  
Konstantinos-Filippos Kollias ◽  
Christine K. Syriopoulou-Delli ◽  
Panagiotis Sarigiannidis ◽  
George F. Fragulis
Keyword(s):  
Machine Learning ◽  
Systematic Review ◽  
Autism Spectrum Disorder ◽  
Eye Tracking ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Assessment Tools ◽  
Future Research ◽  
Promising Tool ◽  
Tracking Technology

Early and objective autism spectrum disorder (ASD) assessment, as well as early intervention are particularly important and may have long term benefits in the lives of ASD people. ASD assessment relies on subjective rather on objective criteria, whereas advances in research point to up-to-date procedures for early ASD assessment comprising eye-tracking technology, machine learning, as well as other assessment tools. This systematic review, the first to our knowledge of its kind, provides a comprehensive discussion of 30 studies irrespective of the stimuli/tasks and dataset used, the algorithms applied, the eye-tracking tools utilised and their goals. Evidence indicates that the combination of machine learning and eye-tracking technology could be considered a promising tool in autism research regarding early and objective diagnosis. Limitations and suggestions for future research are also presented.

The journal club in postgraduate medical education: a systematic review

2001 ◽  
Vol 23 (5) ◽  
pp. 455-461 ◽  
Author(s):  
Jon O. Ebbert ◽  
Victor M. Montori ◽  
Henry J. Schultz
Keyword(s):  
Systematic Review ◽  
Medical Education ◽  
Journal Club ◽  
Postgraduate Medical Education

423 Massive Open Online Courses in Anatomy Education: A Systematic Review

2021 ◽  
Vol 108 (Supplement_2) ◽  
Author(s):  
J Cheong ◽  
I Keenan
Keyword(s):  
Systematic Review ◽  
Medical Education ◽  
Online Courses ◽  
Massive Open Online Courses ◽  
Learning Approaches ◽  
Discussion Forums ◽  
Massive Open Online ◽  
Pubmed Database ◽  
Literature Search Strategy ◽  
Learning Development

Abstract Introduction Massive open online courses (MOOCs) have become increasingly popular for remotely delivering education to global audiences. MOOCs can provide an online platform for participants coming from a variety of professional backgrounds and international locations. Our systematic review investigated current literature surrounding MOOCs, and identified the value of such courses with respect to anatomical and medical education. Method Our literature search strategy involved exploring the PubMed database for the terms ’MOOC + Anatomy’ and ‘MOOC + Medical Education’ identified 290 relevant articles. Following implementation of the PRISMA criteria, 24 articles out of 290 were selected for inclusion in our systematic review. Results Participants completing MOOCs in anatomical and medical education generally showed increased knowledge and skills. We found that MOOC discussion forums encourage participants’ social learning development. MOOCs have shown to address participants’ needs and expectations while supplementing traditional learning approaches. However, the majority of experimental research studies did not include pre-post testing or appropriate controls. Furthermore, high levels of participant attrition, inability to address all learning approaches were identified as limitations with respect to MOOCs. Conclusions Although MOOCs have shown success in providing an excellent platform for learning, it has yet to show definitive improvements when compared to traditional teaching methods.

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