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Eye tracking dans la recherche médicale Q2 2025

Au deuxième trimestre 2025, la technologie de l'eye tracking a considérablement fait progresser la recherche médicale, offrant de nouvelles perspectives sur des pathologies telles que la schizophrénie, la maladie de Parkinson et la maladie d'Alzheimer. Des études ont exploité les données sur les mouvements oculaires pour améliorer la détection précoce et la classification de ces troubles, soulignant le potentiel de l'eye tracking en tant qu'outil de diagnostic non invasif. Cette approche a également été appliquée à l'évaluation des compétences en matière de formation médicale et au développement de méthodes d'audiométrie innovantes, démontrant ainsi la polyvalence et l'impact de l'eye tracking dans le domaine de la Santé.

  1. 1. Automated Schizophrenia Detection and Classification (STFDL-ASDC): A Proposed Model for Self-Reported Schizophrenic Episodes
  2. 2. Nystagmus characteristics and their impact on pattern-reversal VEP in patients with albinism
  3. 3. Exploring the Immersive Gaming Journey: A Virtual Reality and Eye-Tracking Rehabilitation System for Pediatric Amblyopia
  4. 4. Protocol for Shenzhen-working-age cohort study (SZ-working age): a prospective observational cohort study on eye health and myopia
  5. 5. Cycling with hemianopia to explore road user detection and scanning behaviour in virtual reality
  6. 6. Microsaccades as Indicators for Early-Stage Parkinsons Disease: An Explainable AI Approach
  7. 7. Dementia detection by gaze using visuospatial memory task with CNN
  8. 8. Procedures for personally optimizing text-to-speech output for people with aphasia and neurotypical adults: a proof-of-concept study
  9. 9. Assessing Medical Training Skills via Eye and Head Movements
  10. 10. Seeing emotions: an eye-tracking study of emotion recognition in deaf individuals amid facial occlusions
  11. 11. Developmental methods and results for a novel virtual reality concussion detection system
  12. 12. Performing Audiometry Using Pupillometry: State-of-the-Market and Sensor Selection
  13. 13. Validation of reading as a predictor of mild cognitive impairment

Automated Schizophrenia Detection and Classification (STFDL-ASDC): A Proposed Model for Self-Reported Schizophrenic Episodes

juin 8, 2025Jayashree M. Kudari & D. Ganesh

Schizophrenia is a severe mental illness that disrupts brain functions such as perception and thought, leading to profound impacts on individuals’ lives. Its early diagnosis is complex, often hindered by multiple comorbidities that challenge effective patient management and reduce the likelihood of positive outcomes. This study aims to enhance the detection of schizophrenic episodes through a novel deep learning-based Automated Schizophrenia Detection and Classification (STFDL-ASDC) model that uses self-recorded video data. Our approach extracts spatial ...

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Nystagmus characteristics and their impact on pattern-reversal VEP in patients with albinism

juin 4, 2025Herman E. Talsma, Gerard C. de Wit, Charlotte C. Kruijt, Stefan H. L. Zwerver & Maria M. van Genderen

Purpose To describe the association between nystagmus characteristics and pattern-reversal VEP (prVEP) P100 amplitude and peak time in patients with albinism. Methods We analyzed the prVEP (60’ and 15’ checksize) and nystagmus recordings from 47 patients with albinism, 17 with a relatively good visual acuity (≤ 0.3 logMAR), and 30 with a relatively poor visual acuity (≥ 0.6 logMAR). The nystagmus waveforms were classified into two types: dominantly pendular and dominantly jerk. We correlated the nystagmus type, amplitude, frequency, and percentage of lo...

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Exploring the Immersive Gaming Journey: A Virtual Reality and Eye-Tracking Rehabilitation System for Pediatric Amblyopia

juin 4, 2025Ziqi Guo & Yixuan Zhou

Amblyopia is a common visual disorder in children. Traditional treatment methods, lacking interactivity and engagement, often result in low compliance among patients, which limits the effectiveness of the treatment. With the continuous advancement of digital technology, its potential applications in the medical field offer new opportunities for amblyopia rehabilitation. This study employs a user-centered design approach and conducts a Delphi interview with 15 experts to complete the needs analysis. An immersive amblyopia rehabilitation system integrating...

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Protocol for Shenzhen-working-age cohort study (SZ-working age): a prospective observational cohort study on eye health and myopia

juin 2, 2025Keming Zhao, Fanglan Yuan, Wangting Li, Lishi Luo, Jiantao Wang & Kun Zeng

The widespread use of digital devices in modern workplaces has led to a rise in visual health problems, such as myopia and dry eye syndrome, among the working-age population. This study aims to investigate the incidence of eye disorders, associated risk factors and relevant biomarkers in Shenzhen, addressing a crucial gap in the research on visual health in rapidly urbanising Chinese cities.

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Cycling with hemianopia to explore road user detection and scanning behaviour in virtual reality

mai 30, 2025E. M. J. L. Postuma, G. A. de Haan, F. W. Cornelissen & J. HeutinkPLOS One

Cyclists with homonymous hemianopia (HH) may face challenges in detecting road users, especially in unpredictable situations or with distractors. This study examined how HH affects detection, scanning behaviour, and the relation between detection and scanning in a virtual cycling environment. Participants with real HH, simulated HH, and unimpaired vision (N = 12 per group) cycled in a virtual environment, braking upon detecting road users during predictable and unpredictable events, with and without distractors. Scanning behaviour and detection performa...

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Microsaccades as Indicators for Early-Stage Parkinsons Disease: An Explainable AI Approach

mai 25, 2025Yiting Wang & Mattias Nilsson

Abnormal fixational eye movements are frequently observed in individuals with Parkinson’s disease (PD). While these involuntary movements have the potential to serve as objective indicators for early-stage PD screening, the specific role of microsaccades has yet to be validated using computational methods such as machine learning. In this study, we combine explainable AI (XAI) techniques with end-to-end classification to evaluate the contribution of microsaccades in differentiating early-stage PD from healthy controls using data from a simple fixation ta...

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Dementia detection by gaze using visuospatial memory task with CNN

mai 25, 2025Takeru Mukunoki, Junichi Nagasawa, Yuichi Nakata, Mamoru Hiroe, Yujia Zheng, Minoru Nakayama, Yuma Sonoda, Hisatomo Kowa & Takashi Nagamatsu

Early detection of Alzheimer’s disease (AD) is crucial for effective intervention. Recent studies suggested that eye movements could serve as biomarkers for AD. This study analyzed eye movement data from visuospatial memory tasks and proposed a deep learning-based approach using Convolutional Neural Networks (CNNs) to classify AD patients based on gaze heatmaps. Instead of manual feature extraction, we used a three-channel input: the heatmap from viewing the original image, the heatmap from the manipulated image, and a region-highlighted image. This allo...

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Procedures for personally optimizing text-to-speech output for people with aphasia and neurotypical adults: a proof-of-concept study

mai 22, 2025Kelly Knollman-Porter, Karen Hux, Sarah E. Wallace & Elise Bossenbroek

Background Text-to-speech (TTS) technology supports reading confidence and speed for people with aphasia (PWA) but does not universally improve comprehension. This may reflect selection of a less-than-optimal TTS output rate. To evaluate this, researchers need procedures to identify a rate best matching reading capability. This study’s purpose was evaluating whether online eye-tracking procedures are effective for determining a personally optimized TTS rate and examining reading speed, comprehension, and efficiency as variables for the selection process....

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Assessing Medical Training Skills via Eye and Head Movements

mai 19, 2025Kayhan Latifzadeh, Luis A. Leiva, Klen Čopič Pucihar, Matjaž Kljun, Iztok Devetak & Lili Steblovnik

We examined eye and head movements to gain insights into skill development in clinical settings. A total of 24 practitioners participated in simulated baby delivery training sessions. We calculated key metrics, including pupillary response rate, fixation duration, or angular velocity. Our findings indicate that eye and head tracking can effectively differentiate between trained and untrained practitioners, particularly during labor tasks. For example, head-related features achieved an F1 score of 0.85 and AUC of 0.86, whereas pupil-related features achie...

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Seeing emotions: an eye-tracking study of emotion recognition in deaf individuals amid facial occlusions

avril 29, 2025Yu Chen, Shengqin Cao, Zhiquan Zhou & Kaiwen ChengCreating Communication and Media Research Labs

Extensive research has demonstrated that facial occlusion significantly affects individuals’ emotion recognition abilities. However, whether facial occlusion exacerbate the difficulty in emotion recognition for deaf individuals remains elusive. This study employed eye-tracking technology to investigate the mechanisms underlying emotion perception in deaf individuals under different facial occlusion conditions. We compared the percentage of eye and mouth gaze fixation in deaf and hearing participants as they judged different emotions (positive, neutral, n...

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Developmental methods and results for a novel virtual reality concussion detection system

avril 25, 2025Jennifer C. Reneker, William A. Pruett, Ryan Babl, Michael Brown, Jacob Daniels, W. Cody Pannell & Heather L. Shirley

Concussion commonly occurs in sports and military venues and is difficult to diagnose and manage. A medical device is needed to perform an assessment for concussion and identify functional deficits. This report presents the developmental methodology, including user experience and human factors results, for a new virtual reality (VR)-based technology. Data collection occurred between 2020 and 2024, amassing 1008 participants between the ages of 18 and 40 years. The initial software was modified, informed by human factors and user experience data, includin...

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Performing Audiometry Using Pupillometry: State-of-the-Market and Sensor Selection

avril 23, 2025Antonino Crivello, Davide La Rosa, Dimitri Belli, Mario Milazzo & Filippo Palumbo

Hearing impairment poses a significant global health challenge, impacting millions of individuals across all age groups. Early detection and intervention are paramount, especially in infants and young children, to mitigate the adverse effects on speech, language, and cognitive development. Traditional audiometry methods, however, rely on subjective patient responses, rendering them unsuitable for non-collaborative individuals such as infants, newborns, and those with cognitive impairments. To address this limitation, the APURE (Audiometry with PUpil REsp...

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Validation of reading as a predictor of mild cognitive impairment

avril 15, 2025Vida Groznik, Martin Možina, Timotej Lazar, Dejan Georgiev, Aleš Semeja & Aleksander SadikovPLOS One

Mild cognitive impairment (MCI) is a neurocognitive disorder that precedes Alzheimer’s disease, but also other types of dementia. The use of reading tasks, when paired with eye-tracking technology, has been suggested as an effective biomarker for identifying MCI and distinguishing it from healthy individuals. The objective of this study was twofold: (1) to explore the disparities in eye movements during reading between individuals with MCI and healthy controls and train a predictive model to detect MCI, and (2) to validate these findings on a large indep...

    1. 1. Automated Schizophrenia Detection and Classification (STFDL-ASDC): A Proposed Model for Self-Reported Schizophrenic Episodes
    2. 2. Nystagmus characteristics and their impact on pattern-reversal VEP in patients with albinism
    3. 3. Exploring the Immersive Gaming Journey: A Virtual Reality and Eye-Tracking Rehabilitation System for Pediatric Amblyopia
    4. 4. Protocol for Shenzhen-working-age cohort study (SZ-working age): a prospective observational cohort study on eye health and myopia
    5. 5. Cycling with hemianopia to explore road user detection and scanning behaviour in virtual reality
    6. 6. Microsaccades as Indicators for Early-Stage Parkinsons Disease: An Explainable AI Approach
    7. 7. Dementia detection by gaze using visuospatial memory task with CNN
    8. 8. Procedures for personally optimizing text-to-speech output for people with aphasia and neurotypical adults: a proof-of-concept study
    9. 9. Assessing Medical Training Skills via Eye and Head Movements
    10. 10. Seeing emotions: an eye-tracking study of emotion recognition in deaf individuals amid facial occlusions
    11. 11. Developmental methods and results for a novel virtual reality concussion detection system
    12. 12. Performing Audiometry Using Pupillometry: State-of-the-Market and Sensor Selection
    13. 13. Validation of reading as a predictor of mild cognitive impairment
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