{"title":"Eye tracking in cardiology","authors":"Vedat Cicek, Ulas Bagci","doi":"10.1016/j.cobme.2025.100617","DOIUrl":null,"url":null,"abstract":"<div><div>Eye-tracking technology has a strong potential to transform diagnostic medicine and medical education, yet its applications in cardiovascular medicine remain limited. In this study, we present evidence demonstrating how eye-tracking can enhance diagnostic accuracy and procedural proficiency in cardiology. Quantitative analysis of visual attention patterns during electrocardiogram interpretation, cardiac imaging assessment, and interventional procedures reveals distinct scan paths between expert cardiologists and trainees. Integration of eye-tracking metrics in cardiovascular training programs facilitates rapid skill development and enables objective competency assessment. Real-time analysis of eye movements during cardiac interventions can improve procedural accuracy and reduce complications. These findings establish eye-tracking as an essential tool for advancing cardiovascular medicine through improved diagnostics, procedural outcomes, and evidence-based education. We provide a systematic framework for implementing eye-tracking in clinical cardiology and identify critical research priorities, presenting our vision for the future integration of this technology in cardiology practice.</div></div>","PeriodicalId":36748,"journal":{"name":"Current Opinion in Biomedical Engineering","volume":"36 ","pages":"Article 100617"},"PeriodicalIF":4.2000,"publicationDate":"2025-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current Opinion in Biomedical Engineering","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S246845112500042X","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, BIOMEDICAL","Score":null,"Total":0}
引用次数: 0
Abstract
Eye-tracking technology has a strong potential to transform diagnostic medicine and medical education, yet its applications in cardiovascular medicine remain limited. In this study, we present evidence demonstrating how eye-tracking can enhance diagnostic accuracy and procedural proficiency in cardiology. Quantitative analysis of visual attention patterns during electrocardiogram interpretation, cardiac imaging assessment, and interventional procedures reveals distinct scan paths between expert cardiologists and trainees. Integration of eye-tracking metrics in cardiovascular training programs facilitates rapid skill development and enables objective competency assessment. Real-time analysis of eye movements during cardiac interventions can improve procedural accuracy and reduce complications. These findings establish eye-tracking as an essential tool for advancing cardiovascular medicine through improved diagnostics, procedural outcomes, and evidence-based education. We provide a systematic framework for implementing eye-tracking in clinical cardiology and identify critical research priorities, presenting our vision for the future integration of this technology in cardiology practice.