1621-Digital Biopsy for Gastric Cancer Recurrence Prediction
The paper details the creation and validation of the Recurrence Stratification and Assessment (RSA) model, a multimodal artificial intelligence tool designed to predict early cancer return in patients with locally advanced gastric cancer. By integrating deep learning-derived features from digital pathology slides with traditional clinical data, the researchers developed a system that significantly outperforms standard medical staging methods. The study utilized a massive dataset of over 1,700 patients across multiple medical centers and a prospective clinical trial to ensure the model's…
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