眼动追踪系统与运动脑震荡评估工具第5版的集成,用于轻度TBI和神经创伤脑震荡诊断:构建人工智能时代的框架

Augusto Müller Fiedler , Renato Anghinah , Fernando De Nigris Vasconcellos , Alexis A. Morell , Timoteo Almeida , Bernardo de Assumpção , Joacir Graciolli Cordeiro
{"title":"眼动追踪系统与运动脑震荡评估工具第5版的集成,用于轻度TBI和神经创伤脑震荡诊断:构建人工智能时代的框架","authors":"Augusto Müller Fiedler ,&nbsp;Renato Anghinah ,&nbsp;Fernando De Nigris Vasconcellos ,&nbsp;Alexis A. Morell ,&nbsp;Timoteo Almeida ,&nbsp;Bernardo de Assumpção ,&nbsp;Joacir Graciolli Cordeiro","doi":"10.1016/j.neuri.2023.100147","DOIUrl":null,"url":null,"abstract":"<div><p>Traumatic Brain Injuries (TBIs), including mild TBI (mTBI) and concussions, affect an estimated 69 million individuals annually with significant cognitive, physical, and psychosocial consequences. The Sport Concussion Assessment Tool 5th Edition (SCAT5) is pivotal for diagnosing these conditions but possesses inherent subjectivity. Conversely, eye-tracking systems provide objective data, capturing subtle disruptions in ocular and cognitive functions often missed by traditional measures. Yet, the concurrent use of these promising tools for neurotrauma diagnostics is relatively unexplored. This paper proposes integrating eye-tracking with SCAT5 to enhance mTBI and concussion diagnostics. We introduce a model that synergistically combines the strengths of both techniques into an ‘ocular score’, adding objectivity to SCAT5. This union promises improved clinical decision-making, impacting return-to-play, fitness-to-drive, and return-to-work judgments, providing a novel landscape in the neurotrauma scenario. However, our theoretical framework requires empirical validation. We advocate for future large-scale collaborative research databases, and exploration of eye-tracking-based diagnostic markers. Our methodology highlights the potential of this integrated approach to redefine neurotrauma management and diagnostics, addressing a critical global health concern with proven utility in high-risk settings like sports and the military.</p></div>","PeriodicalId":74295,"journal":{"name":"Neuroscience informatics","volume":"3 4","pages":"Article 100147"},"PeriodicalIF":0.0000,"publicationDate":"2023-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772528623000328/pdfft?md5=85c8694c948480f7eb88576cf96250e0&pid=1-s2.0-S2772528623000328-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Integration of eye-tracking systems with sport concussion assessment tool 5th edition for mild TBI and concussion diagnostics in neurotrauma: Building a framework for the artificial intelligence era\",\"authors\":\"Augusto Müller Fiedler ,&nbsp;Renato Anghinah ,&nbsp;Fernando De Nigris Vasconcellos ,&nbsp;Alexis A. Morell ,&nbsp;Timoteo Almeida ,&nbsp;Bernardo de Assumpção ,&nbsp;Joacir Graciolli Cordeiro\",\"doi\":\"10.1016/j.neuri.2023.100147\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Traumatic Brain Injuries (TBIs), including mild TBI (mTBI) and concussions, affect an estimated 69 million individuals annually with significant cognitive, physical, and psychosocial consequences. The Sport Concussion Assessment Tool 5th Edition (SCAT5) is pivotal for diagnosing these conditions but possesses inherent subjectivity. Conversely, eye-tracking systems provide objective data, capturing subtle disruptions in ocular and cognitive functions often missed by traditional measures. Yet, the concurrent use of these promising tools for neurotrauma diagnostics is relatively unexplored. This paper proposes integrating eye-tracking with SCAT5 to enhance mTBI and concussion diagnostics. We introduce a model that synergistically combines the strengths of both techniques into an ‘ocular score’, adding objectivity to SCAT5. This union promises improved clinical decision-making, impacting return-to-play, fitness-to-drive, and return-to-work judgments, providing a novel landscape in the neurotrauma scenario. However, our theoretical framework requires empirical validation. We advocate for future large-scale collaborative research databases, and exploration of eye-tracking-based diagnostic markers. Our methodology highlights the potential of this integrated approach to redefine neurotrauma management and diagnostics, addressing a critical global health concern with proven utility in high-risk settings like sports and the military.</p></div>\",\"PeriodicalId\":74295,\"journal\":{\"name\":\"Neuroscience informatics\",\"volume\":\"3 4\",\"pages\":\"Article 100147\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-11-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2772528623000328/pdfft?md5=85c8694c948480f7eb88576cf96250e0&pid=1-s2.0-S2772528623000328-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Neuroscience informatics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2772528623000328\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Neuroscience informatics","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2772528623000328","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

创伤性脑损伤(TBI),包括轻度TBI (mTBI)和脑震荡,每年影响约6900万人,造成严重的认知、身体和社会心理后果。运动脑震荡评估工具第5版(SCAT5)是诊断这些条件的关键,但具有固有的主观性。相反,眼球追踪系统提供了客观的数据,捕捉到传统测量方法往往无法捕捉到的眼部和认知功能的细微变化。然而,这些有前途的神经创伤诊断工具的同时使用是相对未被探索的。本文提出将眼动追踪与SCAT5相结合,增强mTBI和脑震荡诊断能力。我们引入了一个模型,将两种技术的优势协同结合到“视觉评分”中,为SCAT5增加了客观性。该联盟有望改善临床决策,影响重返赛场、健康驾驶和重返工作岗位的判断,为神经创伤场景提供新的前景。然而,我们的理论框架需要实证验证。我们提倡未来大规模的合作研究数据库,并探索基于眼动追踪的诊断标记。我们的方法强调了这种综合方法重新定义神经创伤管理和诊断的潜力,解决了一个关键的全球健康问题,并在体育和军事等高风险环境中得到了证实。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Integration of eye-tracking systems with sport concussion assessment tool 5th edition for mild TBI and concussion diagnostics in neurotrauma: Building a framework for the artificial intelligence era

Traumatic Brain Injuries (TBIs), including mild TBI (mTBI) and concussions, affect an estimated 69 million individuals annually with significant cognitive, physical, and psychosocial consequences. The Sport Concussion Assessment Tool 5th Edition (SCAT5) is pivotal for diagnosing these conditions but possesses inherent subjectivity. Conversely, eye-tracking systems provide objective data, capturing subtle disruptions in ocular and cognitive functions often missed by traditional measures. Yet, the concurrent use of these promising tools for neurotrauma diagnostics is relatively unexplored. This paper proposes integrating eye-tracking with SCAT5 to enhance mTBI and concussion diagnostics. We introduce a model that synergistically combines the strengths of both techniques into an ‘ocular score’, adding objectivity to SCAT5. This union promises improved clinical decision-making, impacting return-to-play, fitness-to-drive, and return-to-work judgments, providing a novel landscape in the neurotrauma scenario. However, our theoretical framework requires empirical validation. We advocate for future large-scale collaborative research databases, and exploration of eye-tracking-based diagnostic markers. Our methodology highlights the potential of this integrated approach to redefine neurotrauma management and diagnostics, addressing a critical global health concern with proven utility in high-risk settings like sports and the military.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Neuroscience informatics
Neuroscience informatics Surgery, Radiology and Imaging, Information Systems, Neurology, Artificial Intelligence, Computer Science Applications, Signal Processing, Critical Care and Intensive Care Medicine, Health Informatics, Clinical Neurology, Pathology and Medical Technology
自引率
0.00%
发文量
0
审稿时长
57 days
期刊最新文献
Editorial Board Contents Integrated analysis of lncRNA-miRNA-mRNA ceRNA network in neurodegenerative diseases Topic modeling of neuropsychiatric diseases related to gut microbiota and gut brain axis using artificial intelligence based BERTopic model on PubMed abstracts Brain network analysis in Parkinson's disease patients based on graph theory
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1