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For future work, we aim to integrate diverse data sources, including genomic, clinical, and imaging data (MRI, CT scans), to potentially enhance model accuracy through multi-modal analysis. Additionally, our focus will be on creating models that provide interpretations or justifications for their predictions, crucial for understanding clinical decision-making. Collaborating with clinicians for model validation across varied patient populations and real-world clinical settings is essential to assess generalizability. Encouraging data sharing among researchers and institutions to build larger, more diverse datasets is also part of our future endeavors, aiming to improve model robustness and applicability. |
IEEE/ICACT20240384 Slide.14
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