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Eye tracking and machine learning to assess cognitive impairment in post-COVID-19 patients.

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Bibliographic Details
Title: Eye tracking and machine learning to assess cognitive impairment in post-COVID-19 patients.
Authors: Goset J; Center for Sensors, Instruments and Systems Development, Universitat Politècnica de Catalunya - BarcelonaTech, Barcelona, Spain. joan.goset@upc.edu., Ariza M; Departament de Psicologia Clínica i Psicobiologia, Universitat de Barcelona, Barcelona, Spain.; Clinical Research Group for Brain, Cognition and Behavior, Consorci Sanitari de Terrassa (CST), Terrassa, Spain., Mestre C; Center for Sensors, Instruments and Systems Development, Universitat Politècnica de Catalunya - BarcelonaTech, Barcelona, Spain., Vinuela-Navarro V; Center for Sensors, Instruments and Systems Development, Universitat Politècnica de Catalunya - BarcelonaTech, Barcelona, Spain., Pérez-Mañá L; Center for Sensors, Instruments and Systems Development, Universitat Politècnica de Catalunya - BarcelonaTech, Barcelona, Spain., Vilaseca M; Center for Sensors, Instruments and Systems Development, Universitat Politècnica de Catalunya - BarcelonaTech, Barcelona, Spain., Cano N; Clinical Research Group for Brain, Cognition and Behavior, Consorci Sanitari de Terrassa (CST), Terrassa, Spain.; Department of Psychology, Faculty of Medicine and Health Sciences, Universitat Internacional de Catalunya, Sant Cugat del Vallès, Spain., Delàs B; Ophthalmology service, Consorci Sanitari de Terrassa (CST), Terrassa, Spain., Garolera M; Clinical Research Group for Brain, Cognition and Behavior, Consorci Sanitari de Terrassa (CST), Terrassa, Spain.; Department of Psychology, Faculty of Medicine and Health Sciences, Universitat Internacional de Catalunya, Sant Cugat del Vallès, Spain.; Neuropsychology Unit, Hospital de Terrassa, Consorci Sanitari de Terrassa (CST), Terrassa, Spain., Aldaba M; Center for Sensors, Instruments and Systems Development, Universitat Politècnica de Catalunya - BarcelonaTech, Barcelona, Spain.
Source: Scientific reports [Sci Rep] 2026 Mar 18; Vol. 16 (1). Date of Electronic Publication: 2026 Mar 18.
Publication Type: Journal Article
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2045-2322
DOI:10.1038/s41598-025-34664-2