Post

New research · Ophthalmology
Sovremennye tekhnologii v meditsine · 5d
AI / informaticsSovremennye tekhnologii v meditsine · 2026

Integration of Transformer-Based Architecture and Large Language Models for Optical Coherence Tomography Data Analysis to Improve the Accuracy of Differential Diagnosis of Retinal Diseases.

O V Konshina, A D Pershin, M K Kulyabin, V I Borisov
Read paper
OphthalmologyAI / informatics

Combining OCT biomarkers with clinical history improved retinal disease diagnosis accuracy

Integration of Transformer-Based Architecture and Large Language Models for Optical Coherence Tomography Data Analysis to Improve the Accuracy of Differential Diagnosis of Retinal Diseases.

O V Konshina … V I Borisov
Sovremennye tekhnologii v meditsine · 2026
Background

UNLABELLED: The aim of the present study was to improve the differential diagnosis accuracy of retinal diseases combining a transformer model to classify the biomarkers on OCT images and the large language model DeepSeek-V3.

Methods

For biomarker classification, we compared ResNet, DenseNet, EfficientNet, and Vision Transformer (ViT-Tiny-Patch16-224) architectures.

78%
Results
78%
combined tool picked the correct diagnosis as its top guess
“
Conclusion

The suggested approach enabled to automate the detection of biomarkers on OCT images and enhance the differential diagnosis accuracy of eye diseases, reducing the image interpretation time and supporting clinical decision-making.

Read paper
0 comments

No comments yet. Be the first.

Related papers

LatestFoundational
Cross-sectional
44.1%
had too much homocysteine in the blood, a far larger share than in dry AMD or healthy eyes
Cohort Study
92.3%
most laser-treated eyes had a favorable eye-structure outcome
Cohort Study
56%
lost three or more lines on the eye-chart vision test
Cohort Study
50%
older patients were more likely to lose three or more lines of vision
Study
81%
trials where mask air leaks were detected blowing toward the eyes
Cohort Study
13.5%
Central retinal artery peak blood-flow speed was 13.5% lower in diabetic patients.
Study
379 +/- 156 microm
lower thickness in the central retina, checked with an eye scan
Case Report
9 of 10 eyes
eyes had better measured vision after treatment