Evaluating a new lung ultrasound technology for shortness of breath

Is this trial a fit for you?

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This study aims to assess the effectiveness of Caption LungAI in performing lung ultrasound exams. Participants will undergo two separate lung ultrasound exams: one conducted by an expert without the aid of Caption LungAI and another by a trained non-expert using the technology. The goal is to determine how well the non-expert can capture and interpret lung images with the assistance of this AI tool. The study focuses on patients presenting with shortness of breath and suspected B-lines.

Why it matters

Who can join: the full rules

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

Where it's running

• Yale New Haven Hospital
  New Haven, Connecticut, United States Recruiting
• Northwestern University
  Chicago, Illinois, United States Completed
• Rush University Medical Center
  Chicago, Illinois, United States Completed
• The Moses H. Cone Memorial Hospital
  Greensboro, North Carolina, United States Completed

Study contacts

• Study coordinator: Angeline Trinidad
• Email: angeline.trinidad@gehealthcare.com
• Phone: 619-322-0727

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How to take part

1. Review the eligibility criteria above with your treating physician.
2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.