Hope Haynes Bussenius, Zoe Deem, David D.J. Demers
{"title":"Development of the HINTS/HINTS+ Exam Smartphone App and AI Integration","authors":"Hope Haynes Bussenius, Zoe Deem, David D.J. Demers","doi":"10.1016/j.nurpra.2025.105471","DOIUrl":null,"url":null,"abstract":"<div><div>This project examined the effectiveness of the new technology HINTS/HINTS+ (Head-Impulse, Nystagmus, Test of Skew, plus hearing) exam in detecting posterior circulation strokes, which often present atypically and delay treatment. We developed an iOS application to support the HINTS/HINTS+ exam and improve stroke detection. Ten patients with vestibular symptoms were assessed using the application, with 1 correctly identified central and 9 peripheral pathologies. The application showed 100% sensitivity and 66.7% specificity. It allowed video replay for examiners to assess nystagmus and head impulse saccades better than clinical nonvideo testing. Results suggest wider HINTS application use, with future improvements through artificial intelligence.</div></div>","PeriodicalId":101233,"journal":{"name":"The Journal for Nurse Practitioners","volume":"21 8","pages":"Article 105471"},"PeriodicalIF":0.0000,"publicationDate":"2025-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Journal for Nurse Practitioners","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1555415525001540","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This project examined the effectiveness of the new technology HINTS/HINTS+ (Head-Impulse, Nystagmus, Test of Skew, plus hearing) exam in detecting posterior circulation strokes, which often present atypically and delay treatment. We developed an iOS application to support the HINTS/HINTS+ exam and improve stroke detection. Ten patients with vestibular symptoms were assessed using the application, with 1 correctly identified central and 9 peripheral pathologies. The application showed 100% sensitivity and 66.7% specificity. It allowed video replay for examiners to assess nystagmus and head impulse saccades better than clinical nonvideo testing. Results suggest wider HINTS application use, with future improvements through artificial intelligence.