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AI could spot hidden lung danger in scleroderma patients

NCT ID NCT07236970

Recruiting now Knowledge-focused Sponsor: Alejandro Cruz Utrilla Source: ClinicalTrials.gov ↗

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

Summary

This study is testing whether artificial intelligence (AI) can better detect a serious lung condition called pulmonary arterial hypertension (PAH) in people with scleroderma. Researchers will compare AI algorithms to traditional screening methods in 350 patients across multiple hospitals in Spain. The goal is to see if AI can catch PAH earlier and more accurately, which could lead to better outcomes.

What this could mean

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

Active substance
artificial intelligence algorithms
What this could lead to
If successful, this could lead to a more accurate, non-invasive screening method for early detection of pulmonary hypertension in scleroderma patients, potentially improving survival and quality of life.
What could go wrong
This is an observational study using existing data and AI models, not a treatment trial. The algorithms may not perform better than current methods, and results may not apply to all patient groups.

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.

pulmonary hypertension pulmonary systemic sclerosis systemic sclerosis

As listed by the trial registrant

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

PULMONARY HYPERTENSION SYSTEMIC SCLEROSIS (SSC) SYSTEMIC SCLEROSIS-ASSOCIATED PAH

Contacts and locations

Locations

  • Hospital Universitario 12 de Octubre

    RECRUITING

    Madrid, Madrid, 28041, Spain

  • Hospital Universitario Clínico San Cecilio

    RECRUITING

    Granada, Andalusia, 18007, Spain

    Contact Email: •••••@•••••

  • Hospital Universitario Marqués de Valdecilla

    RECRUITING

    Santander, Cantabria, 39008, Spain

  • Hospital Universitario Ramón y Cajal

    RECRUITING

    Madrid, Madrid, 28034, Spain

  • Hospital Universitario Vall d'Hebron

    RECRUITING

    Barcelona, Catalonia, 08035, Spain

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