AI-Powered PET scans could revolutionize heart device infection diagnosis

NCT ID NCT07454096

Not yet recruiting Diagnosis Sponsor: Fundacion Clinic per a la Recerca Biomédica Source: ClinicalTrials.gov ↗

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

Summary

This study explores whether artificial intelligence can make PET scans better at detecting and monitoring infections in implanted heart devices like pacemakers and artificial valves. Researchers will compare AI analysis of scans to standard visual interpretation in 200 patients. If it works, this could lead to faster, more accurate diagnoses and better tracking of treatment response.

What this could mean

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

Active substance: FDG-PET/CT imaging
What this could lead to: If successful, this could lead to a more accurate, non-invasive way to diagnose and monitor heart device infections, potentially reducing unnecessary treatments.
What could go wrong: This is a single-center, early-phase study with only 200 participants. The AI-based method may not prove more accurate than current approaches, and results may not apply to all patients or devices.

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.

heart disorder prosthesis-related infectious disease

As listed by the trial registrant

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

CARDIAC DISEASE DEVICE RELATED INFECTION

Contacts and locations

Locations

Hospital Clinic Barcelona

Barcelona, Barcelona, 08036, Spain

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