Prospective Assessment of Alignment Between Multimodal Artificial Intelligence and Multidisciplinary Team Decisions in Gastrointestinal Oncology
2026年7月31日 更新者: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.
調査の概要
状態
まだ募集していません
研究の種類
観察的
入学 (推定)
69
連絡先と場所
このセクションには、調査を実施する担当者の連絡先の詳細と、この調査が実施されている場所に関する情報が記載されています。
研究連絡先
- 名前:Jing Sun, MD, PhD
- 電話番号:+86-13524284622
- メール:sj11788@rjh.com.cn
研究場所
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Shanghai Municipality
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Shanghai、Shanghai Municipality、中国、200025
- Ruijin hospital Shanghai Jiaotong University, School of Medicine
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コンタクト:
- Jing Sun, MD, PhD
- 電話番号:+86-13524284622
- メール:sj11788@rjh.com.cn
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-
参加基準
研究者は、適格基準と呼ばれる特定の説明に適合する人を探します。これらの基準のいくつかの例は、人の一般的な健康状態または以前の治療です。
適格基準
就学可能な年齢
- 大人
- 高齢者
健康ボランティアの受け入れ
いいえ
サンプリング方法
非確率サンプル
調査対象母集団
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.
説明
Inclusion Criteria:
- 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.
- 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.
- A corresponding multidisciplinary team recommendation regarding diagnostic tasks or the principal treatment decision can be obtained for comparison with the artificial intelligence output.
- Willing and able to understand the study and provide dated written informed consent.
Exclusion Criteria:
- 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.
- 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.
- The participant requires immediate resuscitation or urgent clinical management, and study recruitment could interfere with necessary medical care.
- 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.
- The participant declines research use of the medical record, endoscopic, pathological, imaging, or other required clinical data.
- Any other condition that, in the investigator's judgment, could seriously affect participant rights, data compliance, or the reliability of the study results.
研究計画
このセクションでは、研究がどのように設計され、研究が何を測定しているかなど、研究計画の詳細を提供します。
研究はどのように設計されていますか?
デザインの詳細
コホートと介入
グループ/コホート |
介入・治療 |
|---|---|
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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.
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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.
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この研究は何を測定していますか?
主要な結果の測定
結果測定 |
メジャーの説明 |
時間枠 |
|---|---|---|
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Clinical Acceptability Concordance Rate Between the Multimodal Artificial Intelligence System and the Multidisciplinary Team
時間枠:At the predefined index clinical decision point, within 28 days after enrollment
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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.
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At the predefined index clinical decision point, within 28 days after enrollment
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二次結果の測定
結果測定 |
メジャーの説明 |
時間枠 |
|---|---|---|
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Full Concordance Rate
時間枠:At the predefined index clinical decision point, within 28 days after enrollment
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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.
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At the predefined index clinical decision point, within 28 days after enrollment
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Major Discordance Rate
時間枠:At the predefined index clinical decision point, within 28 days after enrollment
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The proportion of evaluable participants whose AI-generated recommendation is judged to contain a major discordance with potential for clinically significant harm.
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At the predefined index clinical decision point, within 28 days after enrollment
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Successful AI Output Rate
時間枠:At the predefined index clinical decision point, within 28 days after enrollment
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The proportion of enrolled participants for whom the AI system successfully generates an evaluable diagnostic task plan and principal treatment recommendation.
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At the predefined index clinical decision point, within 28 days after enrollment
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その他の成果指標
結果測定 |
メジャーの説明 |
時間枠 |
|---|---|---|
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Distribution of AI-MDT Discordance Types
時間枠:At completion of independent expert evaluation, within 28 days after enrollment
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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.
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At completion of independent expert evaluation, within 28 days after enrollment
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協力者と研究者
ここでは、この調査に関係する人々や組織を見つけることができます。
研究記録日
これらの日付は、ClinicalTrials.gov への研究記録と要約結果の提出の進捗状況を追跡します。研究記録と報告された結果は、国立医学図書館 (NLM) によって審査され、公開 Web サイトに掲載される前に、特定の品質管理基準を満たしていることが確認されます。
主要日程の研究
研究開始 (推定)
2026年8月5日
一次修了 (推定)
2027年8月5日
研究の完了 (推定)
2028年8月5日
試験登録日
最初に提出
2026年7月31日
QC基準を満たした最初の提出物
2026年7月31日
最初の投稿 (実際)
2026年8月5日
学習記録の更新
投稿された最後の更新 (実際)
2026年8月5日
QC基準を満たした最後の更新が送信されました
2026年7月31日
最終確認日
2026年7月1日
詳しくは
本研究に関する用語
その他の研究ID番号
- GI-ALIGN
個々の参加者データ (IPD) の計画
個々の参加者データ (IPD) を共有する予定はありますか?
いいえ
IPD プランの説明
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.
医薬品およびデバイス情報、研究文書
米国FDA規制医薬品の研究
いいえ
米国FDA規制機器製品の研究
いいえ
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