Detecting benzodiazepine use through induced eye convergence inability with a smartphone app: a proof-of-concept study

The loss of eye convergence induced by lorazepam is continuous, individual, and can be partial. Smartphone-based eye-scanning technology combined with a classifier adapted to the ability of eye convergence of individuals shows promising performance in detecting ingestion of lorazepam.

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Publication Details

Journal
Frontiers in Digital Health
Published
2025-05-30
DOI
https://doi.org/10.3389/fdgth.2025.1584716
Citations
1
Primary Topic
Sleep and related disorders
Type
article
Field-Weighted Citation Impact
2.12
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Detecting benzodiazepine use through induced eye convergence inability with a smartphone app: a proof-of-concept study

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Frontiers in Digital Health
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article

Detecting benzodiazepine use through induced eye convergence inability with a smartphone app: a proof-of-concept study

Karl Andersson, Maria Winkvist, Markku Hämäläinen, Fred Nyberg, Monique van Velzen, Andreas Zetterström, Kiki W. K. Kuijpers, Albert Dahan, Marieke Niesters
article en
1 citations

Abstract

The loss of eye convergence induced by lorazepam is continuous, individual, and can be partial. Smartphone-based eye-scanning technology combined with a classifier adapted to the ability of eye convergence of individuals shows promising performance in detecting ingestion of lorazepam.

Frontiers in Digital HealthVol. 7
Uppsala University (SE), Outcomes Research Consortium (US), University of Skövde (SE), Leiden University Medical Center (NL), Centre for Human Drug Research (NL), Nuclear Research and Consultancy Group (NL)
Openalex Percentile: Top 14%
Sleep and related disorders
2.12
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