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Isi-30 (2025) by hrshnyadava is a document available to read on EtoBox.

What is Isi-30 (2025) about?

The document presents Bran AI, an innovative framework for predicting heart attack risks using retinal fundus images alongside clinical data. It employs advanced deep learning techniques, including a neural network-based segmentation model and BERT for processing medical metadata, achieving a high predictive accuracy of 92.4%. Bran AI enhances clinical interpretability and reliability through explainable AI tools, positioning itself as a valuable tool for early detection and personalized management of cardi

Author

hrshnyadava

Language

EN