AI vs. invasive tests: the race to spot a deadly complication

NCT ID NCT07236970

Summary

This study aims to see if artificial intelligence (AI) can improve the early detection of a serious lung condition called pulmonary arterial hypertension (PAH) in people with scleroderma. Researchers will use AI to analyze simple test results like heart scans and compare its accuracy to current screening methods. The goal is to find PAH earlier and reduce the need for invasive diagnostic procedures.

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Contacts and locations

Locations

  • Hospital Universitario 12 de Octubre

    RECRUITING

    Madrid, Madrid, 28041, Spain

    Contact Phone: •••-•••-•••• Email: •••••@•••••

  • Hospital Universitario Clínico San Cecilio

    RECRUITING

    Granada, Andalusia, 18007, Spain

    Contact Phone: •••-•••-•••• Email: •••••@•••••

  • Hospital Universitario Marqués de Valdecilla

    RECRUITING

    Santander, Cantabria, 39008, Spain

    Contact Phone: •••-•••-•••• Email: •••••@•••••

  • Hospital Universitario Ramón y Cajal

    RECRUITING

    Madrid, Madrid, 28034, Spain

    Contact Phone: •••-•••-•••• Email: •••••@•••••

  • Hospital Universitario Vall d'Hebron

    RECRUITING

    Barcelona, Catalonia, 08035, Spain

    Contact Phone: •••-•••-•••• Email: •••••@•••••

Conditions

Explore the condition pages connected to this study.