A Validation Study to Evaluate the Performance of Caption Health Lung Guidance and Interpretation

Purpose

The purpose of this study is to assess the efficacy of Caption LungAI.

Condition

  • Shortness of Breath

Eligibility

Eligible Ages
Over 18 Years
Eligible Sex
All
Accepts Healthy Volunteers
No

Inclusion Criteria

  • Patients over the age of 18 - Patients presenting to the hospital or outpatient setting with shortness of breath and suspected B-lines.

Exclusion Criteria

  • Patients in extremis/in whom a research lung ultrasound would not normally be performed due to other priorities

Study Design

Phase
N/A
Study Type
Interventional
Allocation
N/A
Intervention Model
Single Group Assignment
Primary Purpose
Diagnostic
Masking
None (Open Label)

Arm Groups

ArmDescriptionAssigned Intervention
Experimental
Patients presenting with clinical suspicion of B-Lines
Patients 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.
  • Device: Caption LungAI
    Caption 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.

Recruiting Locations

Yale New Haven Hospital
New Haven 4839366, Connecticut 4831725 06510
Contact:
Ryan Denkewicz
ryan.denkewicz@yale.edu

More Details

NCT ID
NCT05992324
Status
Recruiting
Sponsor
Caption Health, Inc.

Study Contact

Angeline Trinidad
619-322-0727
angeline.trinidad@gehealthcare.com

Detailed Description

After being informed about the study, all patients giving written informed consent will undergo two 8-zone protocol lung ultrasound exams. One exam will be conducted by an expert lung ultrasound user without Caption LungAI and one exam conducted by a (non-expert) healthcare provider who is trained on Caption LungAI and will use Caption LungAI to capture images.