Multi-modal analysis for accurate prediction of preoperative stage and indications of optimal treatment in gastric cancer.

Our multi-modal (CT/EHRs) artificial intelligence models generated with the NAS approach have high accuracy for tumor stage prediction and optimal treatment regimen and timing, which could facilitate radiologists and gastroenterologists to improve diagnosis and treatment efficiency.