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Updated: Feb 10, 2026
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Using Retinal Imaging to Study Dementia
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Protocol for Retinal Imaging and Extraction of Imaging-Derived Phenotypes from the Chinese Human Phenome Project
Lizhen Lan1, Binxin Xu1, Zhiqiang Yan1
1Human Phenome Institute, Fudan University, 825 Zhangheng Road, Pudong New District, Shanghai, 201203 China.
Phenomics (Cham, Switzerland)
|February 9, 2026
Summary
Standardized retinal imaging analysis is crucial for population studies. The Chinese Human Phenome Project developed a protocol using Artificial Intelligence (AI) for efficient extraction of Imaging-Derived Phenotypes (IDPs) from fundus photography and Optical Coherence Tomography (OCT).
Area of Science:
- Ophthalmology
- Medical Imaging
- Bioinformatics
Background:
- Retinal imaging is vital for assessing ocular and systemic health.
- Lack of standardized, automated methods for extracting Imaging-Derived Phenotypes (IDPs) hinders large-scale population studies.
- Existing methods for IDP extraction are inconsistent, limiting comparability across studies.
Purpose of the Study:
- To establish a comprehensive and standardized protocol for IDP extraction from retinal images.
- To introduce Artificial Intelligence (AI)-based methods for accurate and efficient IDP analysis.
- To support large-scale population studies in ophthalmology and related fields.
Main Methods:
- Development of a detailed Standard Operating Procedure (SOP) by the Chinese Human Phenome Project (CHPP).
- Inclusion of Quality Control (QC) and preprocessing steps for retinal images.
- Implementation of automated and semi-automated AI-driven techniques for IDP extraction from fundus photography and Optical Coherence Tomography (OCT).
Main Results:
- A comprehensive protocol for standardized IDP extraction has been established.
- AI-based methods enable accurate and efficient analysis of retinal imaging data.
- The protocol facilitates consistent analysis across large populations.
Conclusions:
- The developed protocol addresses the need for standardization in retinal image analysis.
- AI integration enhances the efficiency and accuracy of IDP extraction.
- This SOP provides a valuable framework for future research using retinal imaging data.
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