Validation of an Artificial Intelligence-Powered Virtual Assistant for Emergency Triage in Neurology.

IF 1 4区 医学 Q4 CLINICAL NEUROLOGY Neurologist Pub Date : 2025-05-01 DOI:10.1097/NRL.0000000000000594
Lucas Alessandro, Santiago Crema, Juan I Castiglione, Daiana Dossi, Federico Eberbach, Alejandro Kohler, Alfredo Laffue, Abril Marone, Vanesa Nagel, José M Pastor Rueda, Francisco Varela, Diego Fernandez Slezak, Sofía Rodríguez Murúa, Carlos Debasa, Pensa Claudio, Mauricio F Farez
{"title":"Validation of an Artificial Intelligence-Powered Virtual Assistant for Emergency Triage in Neurology.","authors":"Lucas Alessandro, Santiago Crema, Juan I Castiglione, Daiana Dossi, Federico Eberbach, Alejandro Kohler, Alfredo Laffue, Abril Marone, Vanesa Nagel, José M Pastor Rueda, Francisco Varela, Diego Fernandez Slezak, Sofía Rodríguez Murúa, Carlos Debasa, Pensa Claudio, Mauricio F Farez","doi":"10.1097/NRL.0000000000000594","DOIUrl":null,"url":null,"abstract":"<p><strong>Objectives: </strong>Neurological emergencies pose significant challenges in medical care in resource-limited countries. Artificial intelligence (AI), particularly health chatbots, offers a promising solution. Rigorous validation is required to ensure safety and accuracy. Our objective is to evaluate the diagnostic safety and effectiveness of an AI-powered virtual assistant (VA) designed for the triage of neurological pathologies.</p><p><strong>Methods: </strong>The performance of an AI-powered VA for emergency neurological triage was tested. Ten patients over 18 years old with urgent neurological pathologies were selected. In the first stage, 9 neurologists assessed the safety of the VA using their clinical records. In the second stage, the assistant's accuracy when used by patients was evaluated. Finally, VA performance was compared with ChatGPT 3.5 and 4.</p><p><strong>Results: </strong>In stage 1, neurologists agreed with the VA in 98.5% of the cases for syndromic diagnosis, and in all cases, the definitive diagnosis was among the top 5 differentials. In stage 2, neurologists agreed with all diagnostic parameters and recommendations suggested by the assistant to patients. The average use time was 5.5 minutes (average of 16.5 questions). VA showed superiority over both versions of ChatGPT in all evaluated diagnostic and safety aspects ( P <0.0001). In 57.8% of the evaluations, neurologists rated the VA as \"excellent\" (suggesting adequate utility).</p><p><strong>Conclusions: </strong>In this study, the VA showcased promising diagnostic accuracy and user satisfaction, bolstering confidence in further development. These outcomes encourage proceeding to a comprehensive phase 1/2 trial with 100 patients to thoroughly assess its \"real-time\" application in emergency neurological triage.</p>","PeriodicalId":49758,"journal":{"name":"Neurologist","volume":" ","pages":"155-163"},"PeriodicalIF":1.0000,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Neurologist","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1097/NRL.0000000000000594","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Objectives: Neurological emergencies pose significant challenges in medical care in resource-limited countries. Artificial intelligence (AI), particularly health chatbots, offers a promising solution. Rigorous validation is required to ensure safety and accuracy. Our objective is to evaluate the diagnostic safety and effectiveness of an AI-powered virtual assistant (VA) designed for the triage of neurological pathologies.

Methods: The performance of an AI-powered VA for emergency neurological triage was tested. Ten patients over 18 years old with urgent neurological pathologies were selected. In the first stage, 9 neurologists assessed the safety of the VA using their clinical records. In the second stage, the assistant's accuracy when used by patients was evaluated. Finally, VA performance was compared with ChatGPT 3.5 and 4.

Results: In stage 1, neurologists agreed with the VA in 98.5% of the cases for syndromic diagnosis, and in all cases, the definitive diagnosis was among the top 5 differentials. In stage 2, neurologists agreed with all diagnostic parameters and recommendations suggested by the assistant to patients. The average use time was 5.5 minutes (average of 16.5 questions). VA showed superiority over both versions of ChatGPT in all evaluated diagnostic and safety aspects ( P <0.0001). In 57.8% of the evaluations, neurologists rated the VA as "excellent" (suggesting adequate utility).

Conclusions: In this study, the VA showcased promising diagnostic accuracy and user satisfaction, bolstering confidence in further development. These outcomes encourage proceeding to a comprehensive phase 1/2 trial with 100 patients to thoroughly assess its "real-time" application in emergency neurological triage.

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
神经病学紧急分诊人工智能虚拟助手的验证。
目标:在资源有限的国家,神经急症对医疗保健构成重大挑战。人工智能(AI),尤其是健康聊天机器人,提供了一个很有前途的解决方案。需要严格的验证以确保安全性和准确性。我们的目标是评估用于神经疾病分类的人工智能虚拟助手(VA)的诊断安全性和有效性。方法:对人工智能辅助急诊神经分诊系统的性能进行测试。选择年龄在18岁以上的急性病患者10例。在第一阶段,9名神经科医生使用他们的临床记录评估了VA的安全性。在第二阶段,评估助手在被患者使用时的准确性。最后,将VA性能与ChatGPT 3.5和4进行比较。结果:在第一阶段,98.5%的病例的症状诊断与VA一致,在所有病例中,最终诊断都在前5个鉴别中。在第二阶段,神经科医生同意助理向患者提出的所有诊断参数和建议。平均使用时间为5.5分钟(平均16.5个问题)。在所有评估的诊断和安全性方面,VA都优于两个版本的ChatGPT (p结论:在本研究中,VA显示出有希望的诊断准确性和用户满意度,增强了进一步开发的信心。这些结果鼓励对100名患者进行全面的1/2期试验,以彻底评估其在紧急神经分诊中的“实时”应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Neurologist
Neurologist 医学-临床神经学
CiteScore
1.90
自引率
0.00%
发文量
151
审稿时长
2 months
期刊介绍: The Neurologist publishes articles on topics of current interest to physicians treating patients with neurological diseases. The core of the journal is review articles focusing on clinically relevant issues. The journal also publishes case reports or case series which review the literature and put observations in perspective, as well as letters to the editor. Special features include the popular "10 Most Commonly Asked Questions" and the "Patient and Family Fact Sheet," a handy tear-out page that can be copied to hand out to patients and their caregivers.
期刊最新文献
The "Paradoxical Dilation" Sign as an Indicator for Overlooked Collateral Arterial Supply in Chronic Subdural Hematoma. Timing of Initiation of Pharmacologic Venous Thromboembolism Prophylaxis in Patients With Intracerebral Hemorrhage. Prediction of Malignant Brain Edema Based on Contrast Agent Exudation After Mechanical Thrombectomy for Anterior Circulation Occlusion. Kimura's Disease Complicated by Cerebral Autosomal Dominant Arteriopathy With Subcortical Infarcts and Leukoencephalopathy: A Case Report and Review of the Literature. Convexity Subarachnoid Hemorrhage Due to Large Artery Atherosclerotic Stenosis or Occlusion: A Report of 3 Cases.
×
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:604180095
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