Actively Recruiting
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
Eligibility Criteria
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
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
Trial Site Locations
Total: 1 location
1
Xiaonan He
Beijing, Chaoyang, China, 100029
Actively Recruiting
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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