This project proposes to collect prospective multimodal data-such as pathology, imaging, and clinical information-and to perform integrative analyses. AI technologies can offer novel solutions for disease classification, tumor grading, histological subtyping, molecular subtyping, selection of chemotherapy regimens, risk stratification, treatment response prediction, report generation, and intelligent question-answering. This research provides important support for precision medicine and individualized treatment and has significant theoretical and practical implications. Conducting a prospective randomized controlled study better aligns with clinical application requirements and can accelerate the comprehensive deployment of AI systems.
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AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
Area under ROC curve (AUC)
Timeframe: Diagnostic evaluation will be performed within 1 week when the WSIs or CT are obtained