Actively Recruiting

Age: 18Years +
All Genders
NCT06196307

Early Warning and Classification Model for Acute Non-traumatic Chest Pain

Led by Xiao-nan He · Updated on 2026-02-05

10000

Participants Needed

1

Research Sites

330 weeks

Total Duration

On this page

AI-Summary

What this Trial Is About

Acute non-traumatic chest pain is one of the common causes of presentation in emergency patients, but the causes of acute non-traumatic chest pain are complex, the severity of the condition varies greatly, and the specificity of symptoms is not high. Machine learning and intelligent auxiliary models can greatly shorten the time of clinical decision-making, and improve the accuracy of etiological diagnosis in patients with chest pain, reduce the rate of misdiagnosis and missed diagnosis, and provide a clear direction for further treatment.

CONDITIONS

Official Title

Early Warning and Classification Model for Acute Non-traumatic Chest Pain

Who Can Participate

Age: 18Years +
All Genders

Eligibility Criteria

Eligible

You may qualify if you...

  • Age 18 years or older
  • Chest pain symptoms started or worsened within 24 hours before emergency department visit
  • Clinical diagnosis of non-traumatic chest pain at emergency presentation
  • Signed informed consent to participate
Not Eligible

You will not qualify if you...

  • Chest pain caused by trauma
  • Chest pain due to systemic pain from malignant tumors or rheumatic diseases involving the chest
  • Patients lost to follow-up

AI-Screening

AI-Powered Screening

Complete this quick 3-step screening to check your eligibility

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Trial Site Locations

Total: 1 location

1

Xiaonan He

Beijing, Chaoyang, China, 100029

Actively Recruiting

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Research Team

X

Xiaonan / He, Professor

CONTACT

H

Haotian / Wu, Bachelor

CONTACT

How is the study designed?

Study Type

OBSERVATIONAL

Masking

N/A

Allocation

N/A

Model

N/A

Primary Purpose

N/A

Number of Arms

2

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