Deep Learning Using Chest X-Rays to Identify High Risk Patients for Lung Cancer Screening CT
Recruiting
N/A
Interventional Study
Lung Cancer
Health Screening
Early Cancer Detection
Deep Learning
No Placebo Group
Every participant receives an active treatment — no one gets a placebo.
At a Glance
- Age
- 50 – 77
- Sex
- Any
- Study type
- Interventional
- Purpose
- Screening
- Participants needed
- 1,500 (estimated)
- Sponsor
- Massachusetts General Hospital · Other
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About This Trial
The goal of this clinical trial is to evaluate whether an AI tool that alerts providers to patients at high 6-year risk of lung cancer based on their chest x-ray images will improve lung cancer screening CT participation. The main question it aims to answer is: Does the AI tool improve lung cancer screening CT participation at 6 months after the baseline outpatient visit?
The intervention is an a…
Trial Locations
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Eligibility Criteria
Major Inclusion Criteria:
* Scheduled outpatient appointment with participating provider.
* 50- to 77-year-old who currently or formerly smoked, to include persons potentially eligible for lung screening based on Medicare guidelines.
* Recent (within 2 years) PA chest radiograph.
Exclusion Criteri…
Contacts