Generative AI for Multimodal Breast Cancer Diagnosis and Staging
Date:
This project investigates generative and multimodal AI models for breast cancer diagnosis and staging, integrating histopathology images with structured clinical records.
The work addresses limitations of unimodal approaches by exploring multimodal learning frameworks that jointly model visual and clinical data to improve diagnostic accuracy and clinical relevance. Current efforts focus on model prototyping, modality fusion strategies, and evaluation protocols, with emphasis on robustness and interpretability.
This project is an ongoing research project within my second Master’s in Artificial Intelligence for Science, with the objective of producing a peer-reviewed publication in the medical AI domain.
Status: Ongoing.