UPCOMING SESSIONS in ET
Thu, Jun 25, 2026
5:00 – 6:00 AM Bangkok
Neurological Manifestations of Amyloidosis — Managing Amyloidosis PN Richard Wlodarski Click To Register
UPCOMING SESSIONS in ET
Thu, Jun 25, 2026 · 5:00 – 6:00 AM Bangkok
Neurological Manifestations of Amyloidosis — Managing Amyloidosis PN
Richard Wlodarski
Click To Register
View all sessions

AI analysis may help doctors spot hidden signs of ATTR-CM

Source
Amyloidosis News Today

An artificial intelligence (AI) model that analyzes the results of echocardiograms may help predict the likelihood of transthyretin amyloid cardiomyopathy (ATTR-CM) in people at high risk for the condition, a study suggested.

The model, AI-Echo, showed superior diagnostic potential than an AI model based on data from electrocardiograms (ECGs) and a clinical ATTR-CM score, which accounts for six demographic, clinical, and echo-based factors.

If validated, AI-Echo could help with ATTR-CM diagnosis, potentially allowing doctors to avoid unnecessary diagnostic procedures in some cases.