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Prospective Assessment of Alignment Between Multimodal Artificial Intelligence and Multidisciplinary Team Decisions in Gastrointestinal Oncology

NCT07746830 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 69

Last updated 2026-08-05

No results posted yet for this study

Summary

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.

Conditions

Interventions

OTHER

Multidisciplinary Team Clinical Decision Assessment

Using the same clinical information available at the predefined decision time point, the institutional multidisciplinary team will independently formulate recommendations regarding diagnosis, staging, additional examinations, and treatment planning according to routine clinical practice. Clinical management will remain under the responsibility of the treating physicians and the multidisciplinary team. The MDT decision and the independently generated AI output will subsequently be compared and evaluated by an independent expert panel.

OTHER

Multimodal Artificial Intelligence-Based Clinical Decision Assessment

Available clinical information for each enrolled participant, including medical history, laboratory findings, endoscopic findings, imaging, pathology, and molecular testing results when available, will be entered into a multimodal artificial intelligence system. The system will independently generate a structured assessment of diagnosis, staging, additional diagnostic tasks, and treatment planning. The AI-generated output will be recorded solely for research comparison, will not be disclosed to the treating multidisciplinary team before its decision is finalized, and will not directly influence patient care.

Sponsors & Collaborators

  • Shanghai Minimally Invasive Surgery Center

    lead OTHER

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2026-08-05
Primary Completion
2027-08-05
Completion
2028-08-05

Countries

  • China

Study Locations

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Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07746830 on ClinicalTrials.gov