AI spots heart clues in bone scans: a new way to catch a silent killer?

NCT ID NCT06921408

Not yet recruiting Diagnosis Sponsor: University Hospital, Lille Source: ClinicalTrials.gov ↗

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

Summary

This study tests whether a computer model can find signs of a heart condition called cardiac amyloidosis in bone scans that were done for other reasons. Researchers will look back at 57 patients' scans to see if the model can correctly identify those with the disease. If it works, this could help doctors catch the condition earlier without extra tests.

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 non-invasive way to catch a serious heart condition earlier, using scans already performed for other reasons.
What could go wrong: This is a small, early-stage observational study, not a treatment trial. The model may not be accurate enough for widespread use, and further validation is needed.

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.

Amyloid Neuropathies, Familial amyloidosis familial amyloid neuropathy wild type ATTR amyloidosis

As listed by the trial registrant

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

CARDIAC AMYLOIDOSIS TRANSTHYRETIN AMYLOIDOSIS

Contacts and locations

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Study contacts

Contact

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

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