跳至主要内容
临床试验/NCT07326358
NCT07326358招募中不适用

Development and Validation of an Artificial Intelligence System for Anatomic Site Recognition and Lesion Detection Based on Electronic Nasopharyngolaryngoscopic Images: A Prospective Multicenter Study

Ruijin Hospital1 个研究点 分布在 1 个国家目标入组 500 人开始时间: 2025年12月12日最近更新:

试验速览

阶段
不适用
状态
招募中
入组人数
500
试验地点
1
主要终点
performance of lesion detection

研究概览

简要总结

An artificial intelligence-assisted system is trained and validated by collecting nasopharyngolaryngoscopy images from patients.

详细描述

To address the clinical pain points of traditional nasopharyngolaryngoscopy, such as incomplete visualization, inaccurate identification, and unclear imaging, this study will retrospectively collect nasopharyngolaryngoscopy images and baseline information (including gender and age) of patients who underwent nasopharyngolaryngoscopy at participating centers for model training and validation. Deep learning algorithms will be applied to construct the model. The final clinical performance evaluation of the model will be conducted using an independent, prospectively collected test cohort.

研究设计

研究类型
Observational
观察模型
Other
时间视角
Other

入排标准

年龄范围
18 Years 至 —(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • Age ≥ 18 years;
  • Underwent standard electronic nasopharyngolaryngoscopy;
  • Patients who underwent biopsy sampling have a clear pathological diagnosis;
  • Signed a written informed consent form.

排除标准

  • Image quality is substandard with severe motion artifacts;
  • Lesion images are unclear and incomplete.

结局指标

主要结局

performance of lesion detection

时间窗: Within 3 months after the completion of prospective data collection

The area under the receiver operating characteristic curve (ROC-AUC) of the model for abnormal lesion detection

performance of anatomic site recognition

时间窗: Within 3 months after the completion of prospective data collection

The average precision (AP) of the model for recognizing nasopharyngeal and laryngeal anatomic sites

次要结局

  • Comparison of diagnostic performance between the model and physicians(Within 3 months after the completion of prospective data collection)

研究者

申办方类型
Other
责任方
Sponsor

研究点 (1)

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