Diagnosis of Peritoneal Exfoliative Cytology-positive Gastric Cancer Based on Artificial Intelligence-driven Virtual Biopsy Technology

"The intervention involves the use of an artificial intelligence (AI)-driven virtual biopsy technology for the non-invasive diagnosis of gastric cancer with positive peritoneal exfoliative cytology (PEC). Unlike traditional biopsy methods, which require invasive procedures to obtain tissue samples, this intervention utilizes AI algorithms to analyze non-invasive biomarkers derived from patient samples such as blood, urine, or peritoneal lavage fluid.~The AI model is designed to integrate various data types, including transcriptomic profiling, imaging data, and other biomarkers, to predict the presence of PEC-positive gastric cancer. This technology employs advanced machine learning techniques to identify molecular and cellular features indicative of peritoneal metastasis, providing a diagnostic tool that is potentially more sensitive and less invasive than conventional methods.~The intervention is unique in its ability to combine multi-omics data (such as gene expression and imaging."