跳至主要内容
临床试验/NCT07578610
NCT07578610招募中不适用

Accuracy and Calibration of Evidence-Grounded Biomedical Signal Extraction From Free-Text Symptom Descriptions: A Prospective Observational Registry Using the OpenGenome Automated Research Instrument

OpenGenome1 个研究点 分布在 1 个国家目标入组 1,000 人开始时间: 2026年5月5日最近更新:
适应症
干预措施

试验速览

阶段
不适用
状态
招募中
发起方
入组人数
1,000
试验地点
1
主要终点
Internal signal-source concordance rate

研究概览

简要总结

This registry prospectively collects anonymized free-text symptom descriptions submitted voluntarily by adults through the OpenGenome platform at opengenome.bio. For each submission, the system retrieves real biomedical literature from PubMed and ClinicalTrials.gov in parallel, applies a constrained reasoning model operating under a strict output schema, and returns a structured biological signal report. The study evaluates the internal consistency of extracted signals, the calibration of confidence scores relative to dataset size and symptom specificity, and the distribution of biological signal categories across a large anonymous population. No intervention is assigned. No participant contact occurs. All data is anonymized at the point of collection.

详细描述

OpenGenome is a publicly accessible, anonymous research instrument that maps free-text symptom descriptions to structured biological signals grounded in primary biomedical literature. Upon submission, the platform dispatches parallel queries to PubMed via NCBI E-utilities and ClinicalTrials.gov v2 API, retrieving up to 16 real sources per submission. A reasoning model constrained by a strict schema extracts a primary biological signal, up to five secondary signals, a plain-language correlation explanation, a confidence score, and a signal strength score. All scores are integers on a 0 to 100 scale. Sources are included by PMID or NCT identifier and are directly linkable for independent verification. This registry will analyze aggregate anonymized outputs to characterize signal consistency, score calibration, and population-level signal distributions.

研究设计

研究类型
Observational
观察模型
Ecologic Or Community
时间视角
Prospective

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

  • Automated or programmatically generated submissions detected by rate limiting
  • Submissions containing no discernible symptom or health-related content

排除标准

  • 未提供

研究组 & 干预措施

Voluntary Submitters

Adults aged 18 or older who voluntarily submit a free-text symptom description via the OpenGenome platform and receive a structured biological signal report. No intervention is assigned.

干预措施: OpenGenome AI Platform (Other)

结局指标

主要结局

Internal signal-source concordance rate

时间窗: At point of automated report generation, assessed continuously over 12 months

Proportion of primary signal claims in generated reports that are traceable to at least one retrieved PubMed or ClinicalTrials.gov source included in the same report

次要结局

未报告次要终点

研究者

发起方
OpenGenome
申办方类型
Network
责任方
Sponsor

研究点 (1)

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