Deep learning-based pathomics signature predicts prognosis and treatment response in gastric cancer: a multicenter retrospective study.
AI analyzing pathology images consistently predicted outcomes and treatment response in gastric cancer across multiple hospitals.
A multicenter study developed a deep learning model that analyzes pathology slide images to predict outcomes and treatment response in gastric cancer patients. The model was validated across multiple hospitals, showing consistent predictive performance.
What the study was
- Study design
- Multicenter retrospective cohort
- Population
- Gastric cancer patients
- Category
- Diagnostics
- Maturity
- Validated
- Journal
- NPJ Precision Oncology
Why it surfaced
Multicenter validated AI pathomics model for gastric cancer. Good design quality for an AI study but incremental advance.
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