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Explainable AI for Precision Oncology: A Task-Specific Approach Using Imaging, Multi-omics, and Clinical Data

2025-07-14

Abstract excerpt

Despite continued advances in oncology, cancer remains a leading cause of global mortality, highlighting the need for diagnostic and prognostic tools that are both accurate and interpretable. Unimodal approaches often fail to capture the biological and clinical complexity of tumors. In this study, we present a suite of task-specific AI models that leverage CT imaging, multi-omics profiles, and structured clinical...

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Literature Corpus work
686e39c3-157b-5b00-9a1d-4ebcf3a3ffa2
DOI
10.1101/2025.07.12.25331423
Open publication

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Explainable AI for Precision Oncology: A Task-Specific Approach Using Imaging, Multi-omics, and Clinical DataDOI 10.1101/2025.07.12.25331423
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