LLMs, Deep learning and Radiomics for […] | Lubomir Hadjiyski | 2025

AI in Science and Engineering Symposium

Speaker: Lubomir Hadjiyski, Radiology, U-M Medical School

Full Title: Large Language Models, Deep learning and Radiomics for Survival Prediction of Bladder Cancer Patients

The project team used AI, including large language models, radiomics, and deep learning, for predicting five-year survival rates in bladder cancer patients by integrating clinical reports and imaging data. A multidisciplinary team collaborated closely with clinical experts to define key tasks, annotate data, and evaluate results, addressing challenges in data collection, model selection, and robust validation through pilot experiments, transfer learning, and iterative refinement of AI methods.

For more information about the AI in Science and Engineering Symposium, please visit: https://midas.umich.edu/events/2025-ai-in-science-and-engineering-symposium/

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