A Validation Study to Evaluate the Performance of Caption Health Lung Guidance and Interpretation
Part of paid clinical trials in New Haven, Connecticut.
- Sponsor
- Caption Health, Inc.
- Study ID
- NCT05992324
- Status
- Recruiting
Conditions
- Shortness of Breath
Eligibility Criteria
- Sex
- ALL
- Age
- 18 Years - N/A
- Healthy Volunteers
- Not accepted
Interventions
- Caption LungAI — DEVICECaption LungAI is a software that is designed to help non-expert healthcare professionals acquire diagnostic quality images on an 8-zone lung protocol for both healthy patients and patients presenting with pathology such as B-Lines.
Study Details
The purpose of this study is to assess the efficacy of Caption LungAI.
Key Dates
- Start date
- Jul 17, 2023
- Status verified
- Nov 2024
- Primary completion
- Dec 31, 2024
- Completion
- Mar 1, 2025
Study Design
- Enrollment
- 220 participants (estimated)
- Allocation
- NA
- Intervention model
- SINGLE_GROUP
- Primary purpose
- DIAGNOSTIC
Arms
- Experimental: Patients presenting with clinical suspicion of B-LinesPatients will undergo two 8-zone protocol lung ultrasound exams. One exam will be conducted by an expert lung ultrasound user without Caption LungAI and will last approximately 5-10 minutes. The second exam will be conducted by a healthcare professional with Caption LungAI and will last approximately 15-20 minutes.
Primary Outcome Measure
Diagnostic Image Quality (Trained Healthcare Professional) [ Time Frame: Up to 24 weeks from completion of the study. ]
Central Contacts
- Angeline Trinidad619-322-0727
Locations (4)
| Facility | City | State | ZIP | Site coordinators |
|---|---|---|---|---|
| Yale New Haven Hospital | New Haven | Connecticut | 06510 | Ryan Denkewicz Chris Moore, MD |
| Northwestern University | Chicago | Illinois | 60611 | - |
| Rush University Medical Center | Chicago | Illinois | 60612 | - |
| The Moses H. Cone Memorial Hospital | Greensboro | North Carolina | 27401 | - |
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