By integrating retrospective multimodal data such as pathology and imaging, AI technologies offer novel solutions for disease classification, tumor grading, histological and molecular subtyping, selection of chemotherapy regimens, risk stratification, and treatment-response prediction. This research direction not only deepens our understanding of tumor biological characteristics but also provides essential support for precision medicine and individualized therapy. It holds significant theoretical and practical value and has important implications for mitigating strained medical resources and improving the accuracy of therapeutic decision-making, representing a cutting-edge application with substantial translational potential.
Study Type
OBSERVATIONAL
Enrollment
2,000
Nanfang Hospital, Southern Medical University
Guangzhou, Guangdong, China
Qianfoshan Hospital
Jinan, Shandong, China
Area under ROC curve (AUC)
Area under the curve
Time frame: Diagnostic evaluation will be performed within 1 week when the WSIs are obtained
Specificity
The true negative rate (TNR) of the diagnostic platform, which is the ratio between the number of negative individuals correctly categorized by platform and the total number of actual negative individuals (%).
Time frame: Diagnostic evaluation will be performed within 1 week when the WSIs are obtained
Sensitivity
The true positive rate (TPR) of the diagnostic platform, which is the ratio between the number of positive individuals correctly categorized by platform and the total number of actual positive individuals (%).
Time frame: Diagnostic evaluation will be performed within 1 week when the WSIs are obtained
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