A Balanced Multimodal Multi-Task Deep Learning Framework for Robust Patient-Specific Quality Assurance

Abstract

Explicit modality balancing improves predictive accuracy and strengthens clinical trustworthiness by mitigating overreliance on a single modality. This work highlights the importance of addressing modality imbalance for building trustworthy and robust AI systems in PSQA and establishes a pioneering framework for multi-task multimodal learning.

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