AI reads lung scans to predict who will get worse

NCT ID NCT06162884

Recruiting now Knowledge-focused Sponsor: University of California, Los Angeles Source: ClinicalTrials.gov ↗

First seen Jun 27, 2026 · Last updated Jun 27, 2026

Summary

This study looks at whether an artificial intelligence (AI) tool can predict if lung scarring (pulmonary fibrosis) will get worse over time. Researchers will analyze CT scans from 200 people with either idiopathic pulmonary fibrosis (IPF) or other types of interstitial lung disease. The goal is to see if a score from the AI can tell who is at higher risk of worsening, which could help doctors make better treatment decisions.

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

What this could lead to: If successful, this could lead to a reliable way to predict which patients with pulmonary fibrosis will worsen, helping doctors plan better care.
What could go wrong: This is an observational study, not a treatment trial. The AI prediction tool may not prove accurate enough for routine use, and results may not apply to all patients.

This is an AI summary of the original study and may miss details. Read our disclaimer.

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Conditions

The condition(s) this trial relates to.

idiopathic pulmonary fibrosis interstitial lung disease pulmonary fibrosis

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

PULMONARY FIBROSIS

Contacts and locations

Locations

UCLA
RECRUITING

Los Angeles, California, 90024, United States

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