AIMC Topic: Retinitis Pigmentosa

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Validation of a deep learning model for the automated detection and quantification of cystoid macular oedema on optical coherence tomography in patients with retinitis pigmentosa.

Acta ophthalmologica Nov 1, 2025
PURPOSE: Accurate assessment of cystoid macular oedema (CMO) in patients with retinitis pigmentosa (RP) on spectral-domain optical coherence tomography (SD-OCT) is crucial for tracking disease progression and may serve as a therapeutic endpoint. Manu...
Deep Learning Visual Acuity Middle Aged Reproducibility of Results Macula Lutea Macular Edema Female Retinitis Pigmentosa Tomography, Optical Coherence Male Adult Humans
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Deep Learning-Facilitated Study of the Rate of Change in Photoreceptor Outer Segment Metrics in RPGR-Related X-Linked Retinitis Pigmentosa.

Investigative ophthalmology & visual science Nov 1, 2023
PURPOSE: The aim of this retrospective cohort study was to obtain three-dimensional (3D) photoreceptor outer segment (OS) metrics measurements with the assistance of a deep learning model (DLM) and to evaluate the longitudinal change in OS metrics an...
Humans Retrospective Studies Eye Proteins Retinal Pigment Epithelium Deep Learning Male Cilia Retinitis Pigmentosa
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Estimation of Visual Function Using Deep Learning From Ultra-Widefield Fundus Images of Eyes With Retinitis Pigmentosa.

JAMA ophthalmology Apr 1, 2023
IMPORTANCE: There is no widespread effective treatment to halt the progression of retinitis pigmentosa. Consequently, adequate assessment and estimation of residual visual function are important clinically.
Retinitis Pigmentosa Tomography, Optical Coherence Fluorescein Angiography Fundus Oculi Middle Aged Deep Learning Male Retrospective Studies Artificial Intelligence Cross-Sectional Studies Female Humans
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Treatment Potential for Macular Cone Vision in Leber Congenital Amaurosis Due to CEP290 or NPHP5 Mutations: Predictions From Artificial Intelligence.

Investigative ophthalmology & visual science Jun 3, 2019
PURPOSE: To use supervised machine learning to predict visual function from retinal structure in retinitis pigmentosa (RP) and apply these estimates to CEP290- and NPHP5-associated Leber congenital amaurosis (LCA) to determine the potential for funct...
Color Vision Defects Cell Cycle Proteins Calmodulin-Binding Proteins Retinal Cone Photoreceptor Cells Cytoskeletal Proteins Genetic Therapy Visual Field Tests Adolescent Retinitis Pigmentosa Antigens, Neoplasm Leber Congenital Amaurosis Middle Aged Young Adult Mutation Visual Fields Male Adult Machine Learning Tomography, Optical Coherence Neoplasm Proteins Humans Female
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