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

2026년 7월 31일 업데이트: Sun Jin, Shanghai Minimally Invasive Surgery Center
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.

연구 개요

연구 유형

관찰

등록 (추정된)

69

연락처 및 위치

이 섹션에서는 연구를 수행하는 사람들의 연락처 정보와 이 연구가 수행되는 장소에 대한 정보를 제공합니다.

연구 연락처

연구 장소

    • Shanghai Municipality
      • Shanghai, Shanghai Municipality, 중국, 200025
        • Ruijin hospital Shanghai Jiaotong University, School of Medicine
        • 연락하다:

참여기준

연구원은 적격성 기준이라는 특정 설명에 맞는 사람을 찾습니다. 이러한 기준의 몇 가지 예는 개인의 일반적인 건강 상태 또는 이전 치료입니다.

자격 기준

공부할 수 있는 나이

  • 성인
  • 고령자

건강한 자원 봉사자를 받아들입니다

아니

샘플링 방법

비확률 샘플

연구 인구

Consecutive adult patients with suspected or confirmed gastric, colon, or rectal cancer who are scheduled for multidisciplinary team evaluation at Ruijin Hospital because of a clinical question related to diagnosis, staging, perioperative treatment, surgical planning, recurrence or metastasis, conversion therapy, response assessment, or another complex management decision. Eligible participants must have an identifiable clinical decision time point and sufficient clinical information to permit paired evaluation by the multimodal artificial intelligence system and the multidisciplinary team.

설명

Inclusion Criteria:

  1. Aged 18 years or older, with no restriction based on sex.
  2. 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.
  3. 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.
  4. A clearly identifiable clinical decision time point can be established, and the clinical information available before that time point can be defined.
  5. At the clinical decision time point, at least the basic medical history, the clinical question to be addressed, and at least one core source of information from endoscopy, pathology, or imaging are available. Completion of all examinations is not required, because missing examinations may be evaluated as part of diagnostic task planning.
  6. A corresponding multidisciplinary team recommendation regarding diagnostic tasks or the principal treatment decision can be obtained for comparison with the artificial intelligence output.
  7. Willing and able to understand the study and provide dated written informed consent.

Exclusion Criteria:

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. A clear multidisciplinary team recommendation corresponding to the clinical decision time point cannot be obtained, or the multidisciplinary team documentation is insufficient for paired evaluation.
  6. The participant requires immediate resuscitation or urgent clinical management, and study recruitment could interfere with necessary medical care.
  7. The participant is unable to provide valid informed consent because of impaired consciousness, severe cognitive impairment, or another reason, and no ethics-approved proxy consent procedure is available for this study.
  8. The participant declines research use of the medical record, endoscopic, pathological, imaging, or other required clinical data.
  9. Any other condition that, in the investigator's judgment, could seriously affect participant rights, data compliance, or the reliability of the study results.

공부 계획

이 섹션에서는 연구 설계 방법과 연구가 측정하는 내용을 포함하여 연구 계획에 대한 세부 정보를 제공합니다.

연구는 어떻게 설계됩니까?

디자인 세부사항

코호트 및 개입

그룹/코호트
개입 / 치료
Patients With Gastrointestinal Tumors
Participants with gastric, colon, or rectal tumors who are prospectively enrolled and undergo parallel, independent clinical decision assessments by a multimodal artificial intelligence system and a multidisciplinary team using the same clinical information available at the predefined decision time point. AI-generated recommendations are used solely for research evaluation and do not directly influence clinical care.
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.
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.

연구는 무엇을 측정합니까?

주요 결과 측정

결과 측정
측정값 설명
기간
Clinical Acceptability Concordance Rate Between the Multimodal Artificial Intelligence System and the Multidisciplinary Team
기간: At the predefined index clinical decision point, within 28 days after enrollment
The proportion of evaluable participants whose AI-generated diagnostic task plan and principal treatment recommendation are judged by an independent expert panel to be fully concordant with the MDT decision or a clinically acceptable alternative. Results will be reported as a percentage with a 95% confidence interval.
At the predefined index clinical decision point, within 28 days after enrollment

2차 결과 측정

결과 측정
측정값 설명
기간
Full Concordance Rate
기간: At the predefined index clinical decision point, within 28 days after enrollment
The proportion of evaluable participants whose AI-generated diagnostic task plan and principal treatment recommendation are judged to be fully concordant with the MDT decision.
At the predefined index clinical decision point, within 28 days after enrollment
Major Discordance Rate
기간: At the predefined index clinical decision point, within 28 days after enrollment
The proportion of evaluable participants whose AI-generated recommendation is judged to contain a major discordance with potential for clinically significant harm.
At the predefined index clinical decision point, within 28 days after enrollment
Successful AI Output Rate
기간: At the predefined index clinical decision point, within 28 days after enrollment
The proportion of enrolled participants for whom the AI system successfully generates an evaluable diagnostic task plan and principal treatment recommendation.
At the predefined index clinical decision point, within 28 days after enrollment

기타 결과 측정

결과 측정
측정값 설명
기간
Distribution of AI-MDT Discordance Types
기간: At completion of independent expert evaluation, within 28 days after enrollment
The number and percentage of discordant cases classified by type, including diagnostic or staging errors, inappropriate additional testing, treatment selection errors, treatment sequencing errors, and potential safety risks.
At completion of independent expert evaluation, within 28 days after enrollment

공동 작업자 및 조사자

여기에서 이 연구와 관련된 사람과 조직을 찾을 수 있습니다.

연구 기록 날짜

이 날짜는 ClinicalTrials.gov에 대한 연구 기록 및 요약 결과 제출의 진행 상황을 추적합니다. 연구 기록 및 보고된 결과는 공개 웹사이트에 게시되기 전에 특정 품질 관리 기준을 충족하는지 확인하기 위해 국립 의학 도서관(NLM)에서 검토합니다.

연구 주요 날짜

연구 시작 (추정된)

2026년 8월 5일

기본 완료 (추정된)

2027년 8월 5일

연구 완료 (추정된)

2028년 8월 5일

연구 등록 날짜

최초 제출

2026년 7월 31일

QC 기준을 충족하는 최초 제출

2026년 7월 31일

처음 게시됨 (실제)

2026년 8월 5일

연구 기록 업데이트

마지막 업데이트 게시됨 (실제)

2026년 8월 5일

QC 기준을 충족하는 마지막 업데이트 제출

2026년 7월 31일

마지막으로 확인됨

2026년 7월 1일

추가 정보

이 연구와 관련된 용어

개별 참가자 데이터(IPD) 계획

개별 참가자 데이터(IPD)를 공유할 계획입니까?

아니요

IPD 계획 설명

There is currently no plan to share individual participant data because the study involves sensitive clinical records, medical images, and digital pathology data with potential re-identification risks. Aggregate study results will be reported.

약물 및 장치 정보, 연구 문서

미국 FDA 규제 의약품 연구

아니

미국 FDA 규제 기기 제품 연구

아니

이 정보는 변경 없이 clinicaltrials.gov 웹사이트에서 직접 가져온 것입니다. 귀하의 연구 세부 정보를 변경, 제거 또는 업데이트하도록 요청하는 경우 register@clinicaltrials.gov. 문의하십시오. 변경 사항이 clinicaltrials.gov에 구현되는 즉시 저희 웹사이트에도 자동으로 업데이트됩니다. .

구독하다