The goal of this observational study is to learn whether the artificial intelligence method can automatically identify and diagnose renal lesions using non-contrast CT or opportunistic screening.
This study first establishes an AI model capable of effectively detecting and diagnosing kidney lesions based on a multicenter retrospective cohort study. Then, the AI model is applied to a large-scale real-world retrospective and prospective population to validate and improve its effectiveness.
Study Type
OBSERVATIONAL
Enrollment
10,000
Fudan university Shanghai Cancer Center
Shanghai, Shanghai Municipality, China
Building an intelligent diagnostic system for renal diseases based on CT scans.
To construct an intelligent system for the detection of renal mass lesions and their differentiation into cysts, benign, and malignant neoplasms.
Time frame: 1 year
Further develop artificial intelligence model to effectively diagnose pathological types of common renal tumors.
Time frame: 1 year
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