Study Details
Testing an AI-Assisted ECG Model to Help Diagnose Pulmonary Hypertension in People with Interstitial Lung Disease
(IRB#: IRB_00189992)
This study will test a new tool to help improve early detection of pulmonary hypertension (PH) in people with interstitial lung disease (ILD). Pulmonary hypertension is high blood pressure in the pulmonary artery (which carries blood from your heart to your lungs). PH can go undiagnosed for many years, even after symptoms start, especially in people who suffer from conditions with similar symptoms (like ILD). The tool being tested looks like an electrocardiogram (ECG) to identify patients who are at high risk for having undiagnosed PH. The study also hopes this tool will help people with similar medical conditions in the future. People in the study will be randomly assigned to one of two groups. People will have an ECG at the initial study visit. People will complete surveys and have other medical tests. Medical information will also be used from the participants electronic health records. Being in the study requires attending in-person visits at the study clinic. Study participation lasts about 6 months. Participants will be paid for the time spent in the study.
- All genders
- Over 18 years old
- Volunteers with special conditions
- In Person
- Paid
Who can participate?
Gender: All genders
Age: Over 18 years old
Volunteers: Volunteers with special conditions
Location: In Person
Inclusion Criteria
- Ages 18 years and older
- Diagnosis of Interstitial Lung Disease
- Willing and able to participate in all study required activites
- Able to attend in-person visits at the study clinic
Exclusion Criteria
- Diagnosis of Pulmonary Hypertension
- A Right Heart Catheterization within the last year (or ordered and not yet completed)
- Expected to live less than 6 months
Will I be paid for my time?
Yes
IRB#: IRB_00189992
PI: Matthew Glick
Department: PULMONARY
Approval Date: 2025-11-05 07:00:00
Specialties: Cardiology, Pulmonary
I am Interested