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审核状态: Project audit state: |
通过审核 Successful |
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注册号: Registration number: |
ChiCTR2400086305 |
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最近更新日期: Date of Last Refreshed on: |
2024-06-28 09:41:27 |
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注册时间: Date of Registration: |
2024-06-28 00:00:00 |
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注册号状态: |
预注册 |
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Registration Status: |
Prospective registration |
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注册题目: |
语音识别和分析技术辅助消化疾病临床诊断 |
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Public title: |
Voice Recognition and Analysis Techniques for Clinical Diagnosis: Development of an AI Model for Gastrointestinal Diseases Classification |
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注册题目简写: |
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English Acronym: |
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研究课题的正式科学名称: |
语音识别和分析技术辅助消化疾病临床诊断 |
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Scientific title: |
Voice Recognition and Analysis Techniques for Clinical Diagnosis: Development of an AI Model for Gastrointestinal Diseases Classification |
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研究课题代号(代码): Study subject ID: |
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在二级注册机构或其它机构的注册号: The registration number of the Partner Registry or other register: |
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申请注册联系人: |
杨代宇 |
研究负责人: |
李晓青 |
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Applicant: |
Daiyu Yang |
Study leader: |
Xiaoqing Li |
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申请注册联系人电话: Applicant telephone: |
+86 150 7908 3991 |
研究负责人电话: Study leader's telephone: |
+86 186 1113 7638 |
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申请注册联系人传真 : Applicant Fax: |
研究负责人传真: Study leader's fax: |
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申请注册联系人电子邮件: Applicant E-mail: |
yangdy20@student.pumc.edu.cn |
研究负责人电子邮件: Study leader's E-mail: |
lixiaoqing20060417@126.com |
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申请单位网址(自愿提供): Applicant website(voluntary supply): |
研究负责人网址(自愿提供): Study leader's website(voluntary supply): |
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申请注册联系人通讯地址: |
北京市东城区帅府园1号 |
研究负责人通讯地址: |
北京市东城区帅府园1号 |
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Applicant address: |
1 Shuaifuyuan, Dongcheng District, Beijing |
Study leader's address: |
1 Shuaifuyuan, Dongcheng District, Beijing |
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申请注册联系人邮政编码: Applicant postcode: |
100730 |
研究负责人邮政编码: Study leader's postcode: |
100730 |
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申请人所在单位: |
中国医学科学院北京协和医学院 |
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Applicant's institution: |
Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College |
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研究负责人所在单位: |
中国医学科学院北京协和医院 |
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Affiliation of the Leader: |
Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College |
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是否获伦理委员会批准: |
是/Yes |
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Approved by ethic committee: |
Yes |
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伦理委员会批件文号: Approved No. of ethic committee: |
I-24PJ1308 |
伦理委员会批件附件: Approved file of Ethical Committee: |
查看附件View |
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批准本研究的伦理委员会名称: |
中国医学科学院北京协和医院伦理审查委员会 |
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Name of the ethic committee: |
Ethical Inspection Committee of Peking Union Hospital, Chinese Academy of Medical Sciences |
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伦理委员会批准日期: Date of approved by ethic committee: |
2024-06-04 00:00:00 |
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伦理委员会联系人: |
李佳月 |
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Contact Name of the ethic committee: |
Jiayue Li |
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伦理委员会联系地址: |
北京东城区帅府园一号 |
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Contact Address of the ethic committee: |
1 Shuaifuyuan, Dongcheng District, Beijing |
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伦理委员会联系人电话: Contact phone of the ethic committee: |
+86 10 6915 6874 |
伦理委员会联系人邮箱: Contact email of the ethic committee: |
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研究实施负责(组长)单位: |
中国医学科学院北京协和医院 |
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Primary sponsor: |
Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College |
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研究实施负责(组长)单位地址: |
北京市东城区帅府园 1 号 |
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Primary sponsor's address: |
No.1 Shuaifuyuan, Dongcheng District, Beijing |
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试验主办单位(项目批准或申办者): Secondary sponsor: |
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经费或物资来源: |
国家级-国家自然科学基金:抗肠神经元抗体导致贲门失弛缓症肠神经元损伤及其对疗效的预测价值(81970476); |
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Source(s) of funding: |
National level - National Natural Science Foundation of China: Anti intestinal neuron antibody induced intestinal neuron damage in achalasia of the cardia and its predictive value for therapeutic effect (81970476); |
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Target disease: |
functional gastrointestinal disorders |
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Target disease code: |
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研究类型: |
观察性研究 |
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Study type: |
Observational study |
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研究所处阶段: |
其它 | ||||||||||||||||||||||
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Study phase: |
N/A |
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研究设计: |
连续入组 |
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Study design: |
Sequential |
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研究目的: |
胃肠道疾病是全球关注的健康问题,发病率不断上升,经济负担沉重。这些疾病包括器质性胃肠道疾病和功能性胃肠病,后者受到社会心理因素的影响。在有限的时间范围内区分两者具有一定的困难。功能性胃肠病主要根据罗马IV标准进行诊断。而有限的医疗资源导致诊断的效率低下和成本高昂。近年来,多模式人工智能(AI)的出现通过整合和解释不同的数据源,在彻底改变疾病诊断方面显示出了巨大的前景。因此,为了解决上述问题,该研究旨在利用多模式人工智能建立诊断模型,用于患者和医生之间的对话。这种方法旨在建立一个高效的分析系统,提高鉴别诊断的准确率,加强胃肠道疾病的诊断,最终为临床医生开发一个智能助手。 |
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Objectives of Study: |
Gastrointestinal diseases are in global health concern, with increasing incidence and significant economic burden. These diseases encompass organic gastrointestinal diseases and functional gastrointestinal disorders (FGIDs), the latter being influenced by psychosocial factors. It can be challenging to distinguish between the two within a limited time frame. FGIDs are primarily diagnosed according to the Rome IV criteria. The limited medical resources lead to inefficiencies and high costs. In recent years, the advent of multimodal Artificial Intelligence (AI) has shown great promise in revolutionizing disease diagnosis by integrating and interpreting diverse data sources. Therefore, to address the aforementioned issues, the study aims to leverage multimodal AI to create pre-trained models for diagnostic conversations between patients and doctors. This approach seeks to build an efficient inquiry analysis system, improve disease classification, and enhance the diagnosis of gastrointestinal diseases, ultimately developing an intelligent assistant for clinical doctors. |
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药物成份或治疗方案详述: |
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Description for medicine or protocol of treatment in detail: |
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纳入标准: |
(1)年龄18-80岁; (2)明确诊断消化系统功能性或器质性疾病,器质性疾病如消化性溃疡、胰腺炎、消化系统肿瘤等,功能性疾病如功能性消化不良、肠易激综合征、功能性便秘等; (3)同意访谈过程的录音要求,积极配合,诚实地陈述他们的主要困扰,积极回答临床医生的询问,并成功完成整个访谈过程; (4)能够签署知情同意书。 |
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Inclusion criteria |
1. Age 18-80 years. 2. Should be definitively diagnosed as organic or functional gastrointestinal diseases. 3. Consent to the recording requirements of the interview process, actively cooperate, honestly present their main concerns, respond to the clinician's inquiries, and successfully complete the entire interview process. 4. Able to sign and furnish the informed consent. |
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排除标准: |
(1)年龄小于18岁,或大于80岁; (2)合并器质性和功能性胃肠道疾病; (3)初步诊断不涉及胃肠道疾病; (4)言语表达不清,不能准确描述症状; (5)不同意访谈和录音。 |
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Exclusion criteria: |
1. Age under 18 years old or over 80 years old. 2. With comorbid organic and functional gastrointestinal diseases. 3. Primary diagnosis does not involve gastrointestinal diseases. 4. Unable to provide an accurate description of their symptoms, such as those who can only respond with "yes" or "no" based on the clinician's questions. 5. Decline to participate in the interview or have it recorded. |
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研究实施时间: Study execute time: |
从 From 2024-07-01 00:00:00至 To 2025-07-01 00:00:00 |
征募观察对象时间: Recruiting time: |
从From 2024-07-01 00:00:00 至 To 2025-07-01 00:00:00 |
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干预措施: Interventions: |
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研究实施地点: Countries of recruitment and research settings: |
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测量指标: Outcomes: |
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采集人体标本:
Collecting sample(s)
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征募研究对象情况: Recruiting status: |
正在进行 Recruiting |
年龄范围: Participant age: |
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性别: |
男女均可 |
Gender: |
Both |
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随机方法(请说明由何人用什么方法产生随机序列): |
无 |
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Randomization Procedure (please state who generates the random number sequence and by what method): |
None |
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是否公开试验完成后的统计结果: Calculated Results after the Study Completed public access: |
公开/Public |
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盲法: |
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Blinding: |
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试验完成后的统计结果(上传文件): |
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Calculated Results after
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是否共享原始数据: IPD sharing |
Yes |
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共享原始数据的方式(说明:请填入公开原始数据日期和方式,如采用网络平台,需填该网络平台名称和网址): |
临床试验公共管理平台 IPD(http://www.medresman.org.cn)。以论文形式发表 |
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The way of sharing IPD”(include metadata and protocol, If use web-based public database, please provide the url): |
ResMan IPD (http://www.medresman.org.cn) . Published as an academic article |
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数据采集和管理(说明:数据采集和管理由两部分组成,一为病例记录表(Case Record Form, CRF),二为电子采集和管理系统(Electronic Data Capture, EDC),如ResMan即为一种基于互联网的EDC: |
采集医患问诊语音,原始语音数据将一式三份存储:一份存储在物理媒体上,另一份由数据分析师保存,第三份上传到云端。数据整理和分析将由授权研究人员进行,他们对所有数据有全面的了解,并能够将患者的疾病诊断与语音数据相关联。所有与数据分析和处理相关的程序都将被仔细记录下来。 |
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Data collection and Management (A standard data collection and management system include a CRF and an electronic data capture: |
Collect medical consultation voice data, and store the original voice data in triplicate: one copy is stored on physical media, the other is saved by data analysts, and the third copy is uploaded to the cloud. The data organization and analysis will be carried out by authorized researchers who have a comprehensive understanding of all data and are able to associate patient disease diagnosis with voice data. All programs related to data analysis and processing will be carefully recorded. |
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数据与安全监察委员会: Data and Safety Monitoring Committee: |
暂未确定/Not yet |