Back to search

Article

Datasheet for the IDHea Primary Eye Care Dataset: A Real-World Ocular Imaging Resource for Research

2025-04-30

Abstract excerpt

<h4>Purpose</h4> Real-world ocular imaging datasets are essential for advancing research in artificial intelligence (AI), autonomous disease screening, and clinical decision support. The Primary Eye Care dataset is a large-scale collection of de-identified retinal imaging data from routine optometric care, made available through the Institute for Digital Health (IDHea)—a secure research platform established by Top...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
413655e6-94b4-59c8-b811-229896da5af4
DOI
10.1101/2025.04.29.25326706
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Datasheet for the IDHea Primary Eye Care Dataset: A Real-World Ocular Imaging Resource for ResearchDOI 10.1101/2025.04.29.25326706
Datasheet for the IDHea Primary Care Screening Dataset: A Real-World Ocular Imaging Resource for ResearchSemantic proximity
The German National Cohort: Ophthalmological Assessment, Baseline Profile and Potential for AI-based Eye ResearchSemantic proximity
OphthatomeTM: An integrated knowledgebase of ophthalmic diseases for translating vision research into the clinicSemantic proximity
Expert-Level Detection of Referable Glaucoma from Fundus Photographs in a Safety Net Population: The AI and Teleophthalmology in Los Angeles InitiativeSemantic proximity
A Federated Learning-based Optic Disc and Cup Segmentation Model for Glaucoma Monitoring In Color Fundus PhotographsSemantic proximity
Cohort Builder: A Software Pipeline for Generating Patient Cohorts with Predetermined Baseline Characteristics from Medical Records and Raw Ophthalmic Imaging DataSemantic proximity
Transducin: an open-source pipeline recovering SNOMED-CT coded measurements from the undocumented Optopol .OPT and Zeiss Cirrus private-tag formats as DICOM Structured ReportsSemantic proximity
Clinical profile and demographic distribution of Stargardt disease phenotypes: An Electronic medical record-driven big data analytics from a multitier eye care network.Semantic proximity
Autonomous Screening for Laser Photocoagulation in Fundus Images Using Deep LearningSemantic proximity
Comparison of Foundation and Supervised Learning-Based Models for Detection of Referable Glaucoma from Fundus PhotographsSemantic proximity
Cohort profile: OphtalmoLaus, an extension of the CoLaus|PsyCoLaus cohort to investigate the relationships between ocular, cardiovascular, and cognitive parametersSemantic proximity
DINO-EYE: Self-Supervised Learning for Identification of Different Optic Disc Phenotypes in Primary Open Angle GlaucomaSemantic proximity
Select a neighboring publication to make it the new centre.