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治験 NCT07497243（対象：Chest X-ray for Clinical Evaluation）は募集準備中です。詳細は治験レーダーのタイル表示と AI 発見ツールで確認するか、ここで質問してください。
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X-ray Assisted Diagnostic System 16,000

募集準備中
治験（臨床試験）の詳細は主に英語で提供されていますが、治験レーダーAIがサポートします！「治験解説」をクリックして、選択した言語で試験情報を表示し、議論してください。
治験番号 NCT07497243 は 観察研究 臨床試験 で、Chest X-ray for Clinical Evaluation に関するものです。現在は 募集準備中 で、2026年5月1日 に開始予定です。16,000 名の参加者 の募集が計画されています。この試験は Union Hospital, Tongji Medical College, Huazhong University of Science and Technology によって主導され、2026年11月30日 に完了予定です。ClinicalTrials.gov からの最新更新日は 2026年3月27日 です。
概要
X-ray examination is one of the most commonly used imaging modalities, especially chest X-ray, which is routinely performed for hospitalized patients. However, due to the low density resolution of X-ray images, radiologists' ability to diagnose diseases-particularly small lesions-is often affected. Studies have shown that the diagnostic accuracy of radiologists using chest X-rays is only around 70%, which does not me...もっと見る
公式タイトル

Construction and Clinical Application of an X-ray AI-Aided Diagnosis System: A Randomized Controlled Trial

疾患名
Chest X-ray for Clinical Evaluation
その他の研究識別子
  • X-Ray-001
NCT番号
NCT07497243
開始日
2026-05-01
最終更新日
2026-03-27
終了予定日
2026-11-30
目標参加者数
16,000
試験の種類
観察研究
状況
募集準備中
キーワード
X-Ray
AI
Chest diseases
Accuracy
群（アーム）／介入
参加グループ/群介入/治療法
Radiologist diagnostic group
After the patient undergoes an X-ray examination, a radiologist generates the report and makes the diagnosis.
Radiologist diagnostic group
After the patient undergoes an X-ray examination, a radiologist generates the report and makes the diagnosis.
AI-assisted radiologist diagnostic group
After the patient undergoes an X-ray examination, an AI-assisted radiologist generates the report and makes the diagnosis.
AI-assisted radiologist diagnostic group
Based on the previously developed X-ray image diagnosis and report generation model, radiologists are assisted in interpreting X-ray images and generating reports.
主要評価項目
評価指標指標の説明時間枠
Area Under the Curve
The primary outcome was the AUC to evaluate diagnostic performance, comparing radiologists with and without AI assistance.
From enrollment to the end of X-ray image acquisition at 1 week
副次評価項目
評価指標指標の説明時間枠
X-ray report generation time
X-ray report generation time refers to the amount of time required to produce a diagnostic report after an X-ray examination has been performed. It typically measures the interval from when the X-ray images are acquired to when the radiologist (with or without AI assistance) completes and finalizes the report.
From enrollment to the end of X-ray image acquisition at 1 week
参加アシスタント
適格基準

対象年齢
小児, 成人, 高齢者
対象性別
全て
健康なボランティアを受け入れる
はい
  • Clinically suspected thoracic diseases (such as pneumonia, tuberculosis, or lung cancer) requiring X-ray diagnosis；
  • Patients providing written informed consent for research data use；
  • Complete clinical records (including chief complaints, medical history, and laboratory test results)

  • Substandard X-ray image quality (including severe motion artifacts, over-/underexposure, or missing anatomical structures)
  • Pregnant or lactating women
Union Hospital, Tongji Medical College, Huazhong University of Science and Technology logoUnion Hospital, Tongji Medical College, Huazhong University of Science and Technology
試験中央連絡先
連絡先: Huangxuan Zhao, PhD, 18971676985, [email protected]
4 1カ国の場所

Hubei

Wuhan Union Hospital, Wuhan, Hubei, 430022, China
Lei Chen, MD, 連絡先, 15971480677, [email protected]
Wuhan Union Jinyin Lake Hospital, Wuhan, Hubei, 430022, China
Lei Chen, 連絡先, 15971480677, [email protected]
Wuhan Union West Hospital, Wuhan, Hubei, 430022, China
Huangxuan Zhao, 連絡先, 18971676985, [email protected]
The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
Huangxuan Duan, 連絡先, 13209867189, [email protected]