Evaluating the Real World Performance of an AI Based Lung Nodule Detection Tool

Part of paid clinical trials in Cleveland, Ohio.

Sponsor
University Hospitals Cleveland Medical Center
Study ID
NCT06597968
Status
Recruiting
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Conditions

  • Lung Nodule

Eligibility Criteria

Sex
ALL
Age
18 Years - 89 Years
Healthy Volunteers
Not accepted

Interventions

  • AI Based CAD Software (qXR-Ln) — DEVICE
    All x-ray images have already been obtained and will then be run through CAD software for secondary nodule detection

Study Details

chest x-rays will be analyzed by AI software for a secondary read of lung nodules. Chest x-rays will either be sent to the AI tool to be read or to radiologists to read. If the image is sent to the AI tool, the AI software will generate a report on if it detects a lung nodule or not. The image will then be sent to a radiologist to determine if there is agreement or disagreement with the AI tool.

Key Dates

Start date
Jun 24, 2025
Status verified
Jan 2026
Primary completion
Apr 30, 2026
Completion
Apr 30, 2026

Study Design

Enrollment
45,991 participants (estimated)

Arms

  • Arm: Image going through AI tool
    these are the images going through the AI tool
  • Arm: image not going through AI tool
    these are the images not going through the AI tool

Primary Outcome Measure

number of patients with actionable lung nodule as measured by CT scan [ Time Frame: up to one year ]

Central Contacts

Locations (1)

FacilityCityStateZIPSite coordinators
University HospitalsClevelandOhio44106
Lauren Hahn
[email protected]
216-844-9312

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By research site
University Hospitals· Cleveland, OH

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