This prospective, single-center observational study will evaluate the concordance between a multimodal artificial intelligence system and multidisciplinary team decisions in patients with gastrointestinal tumors. For each enrolled case, the AI system and the MDT will independently review the same available clinical information, including medical history, laboratory findings, imaging, pathology, and other relevant diagnostic data, and will generate recommendations regarding diagnosis, staging, treatment planning, and further examinations. An independent expert panel will assess the agreement, clinical appropriateness, and potential major errors of the two decision pathways. AI-generated recommendations will be used solely for research evaluation and will not directly influence patient care. The study aims to determine the feasibility, reliability, and safety of multimodal AI-assisted decision-making in real-world gastrointestinal oncology workflows.
Aged 18 years or older, with no restriction based on sex.
Histologically confirmed gastric, colon, or rectal cancer; or highly suspected gastric, colon, or rectal malignancy based on clinical, endoscopic, or imaging findings, with further diagnostic, staging, or treatment planning required.
Scheduled for multidisciplinary team evaluation at the study center because of an initial diagnosis, clinical staging, perioperative treatment, surgical planning, recurrence or metastasis, conversion therapy, treatment response assessment, or another complex clinical management question.
A clearly identifiable clinical decision time point can be established, and the clinical information available before that time point can be defined.
Further examination confirms a condition other than gastric, colon, or rectal cancer, and the case is not applicable to the gastrointestinal oncology pathways evaluated in this study.
The participant is undergoing routine follow-up or continuation of a previously established treatment plan and has no clinical question requiring additional diagnostic tasks, modification of the principal treatment pathway, or multidisciplinary team decision-making.
A clear clinical decision time point cannot be established, or information available before and after the decision cannot be distinguished, preventing comparison of the artificial intelligence system and the multidisciplinary team under the same information conditions.
Core clinical information is severely incomplete, such that the current stage of care and the clinical question cannot be identified and a clinically meaningful artificial intelligence output cannot be generated.