Anu Priya Yaduvanshi

Aimpact-X: A Causally-Grounded Interpretable Multimodal Deep Learning Framework for Transparent Early Disease Detection Using Imaging, Clinical, And Genomic Data

With its combination of high prediction accuracy and causal interpretability, IMPACT-X can pave the way for the development of a regulatory compliant and interpretable paradigm of medical AI that can safely be implemented in clinics, while enabling more accurate personalized medicine practices.