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OCT biomarkers of neurodegenerative diseases - reading the tea leaves or seeing the truth?

CLINICAL AND EXPERIMENTAL OPTOMETRY (2023)

Identification of Sex and Age from Macular Optical Coherence Tomography and Feature Analysis Using Deep Learning

Kuan-Ming Chueh et al.

Summary: Deep learning models were developed to accurately identify sex and age from macular OCT images. The results showed that the foveal contour played a significant role in sex distinction, and the age-related characteristics were observed across the entire layers of the retina.

AMERICAN JOURNAL OF OPHTHALMOLOGY (2022)

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Review Clinical Neurology

Retinal imaging in Alzheimer's and neurodegenerative diseases

Peter J. Snyder et al.

Summary: Research on retinal imaging as potential biomarkers for Alzheimer's disease and other neurodegenerative diseases has significantly increased over the past 20 years. Discussions have focused on the different modalities of retinal imaging, their strengths and weaknesses, and the importance of defining the context of use to guide the development of retinal biomarkers.

ALZHEIMERS & DEMENTIA (2021)

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Article Multidisciplinary Sciences

Predicting sex from retinal fundus photographs using automated deep learning

Edward Korot et al.

Summary: The study demonstrates the development of a deep learning model by clinicians for predicting sex from retinal fundus photographs. The model achieved an accuracy of 86.5% in internal validation and 78.6% in external validation. The importance of model explainability, especially in relation to retinal feature differences, was highlighted in this research.

SCIENTIFIC REPORTS (2021)

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Article Multidisciplinary Sciences

Non-invasive in vivo hyperspectral imaging of the retina for potential biomarker use in Alzheimer's disease

Xavier Hadoux et al.

NATURE COMMUNICATIONS (2019)

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Article Biochemistry & Molecular Biology

Clinically applicable deep learning for diagnosis and referral in retinal disease

Jeffrey De Fauw et al.

NATURE MEDICINE (2018)

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OCT biomarkers of neurodegenerative diseases - reading the tea leaves or seeing the truth?

相关参考文献

Identification of Sex and Age from Macular Optical Coherence Tomography and Feature Analysis Using Deep Learning

Retinal imaging in Alzheimer's and neurodegenerative diseases

Predicting sex from retinal fundus photographs using automated deep learning

Non-invasive in vivo hyperspectral imaging of the retina for potential biomarker use in Alzheimer's disease

Clinically applicable deep learning for diagnosis and referral in retinal disease

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