Multi-Modal Glaucoma Detection Framework using Explainable AI and LLMs
Glaucoma is a group of diseases that can lead to partial or complete blindness due to excessive pressure on the eyes, often caused by anxiety or depression. This pressure damages the optic nerve. The condition requires close, regular cooperation between doctors and patients over time. The increasing number of screenings and time constraints on medical practitioners can lead to errors in disease identification and treatment. Many attempts have been made to automate glaucoma screening and provide interpretability to ensure reliable and accurate solutions. A proposed multi-modal approach combines LIME and Generative AI to help medical practitioners detect glaucoma and provide explanations
Authors
- Hetal Jethani
- Nilesh Bhaskarrao Bahadure (ORCID: https://orcid.org/0000-0003-4361-3870)
- Vivek Pravin Dave (ORCID: https://orcid.org/0000-0003-2589-666X)
- Ashish Kumar Vishwakarma (ORCID: https://orcid.org/0000-0002-7268-2798)
- Deepak Parashar (ORCID: https://orcid.org/0000-0002-4189-4560)
- Nehal Panchal
Publication Details
- Published
- 2025-03-07
- DOI
- https://doi.org/10.1109/icdt63985.2025.10986494
- Primary Topic
- Retinal Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00