JPM, Vol. 14, Pages 559: Artificial Intelligence Assists in the Early Identification of Cardiac Amyloidosis

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JPM, Vol. 14, Pages 559: Artificial Intelligence Assists in the Early Identification of Cardiac Amyloidosis

Journal of Personalized Medicine doi: 10.3390/jpm14060559

Authors: Courtney R. Kenyon Milagros Pereyra Pietri Julie L. Rosenthal Reza Arsanjani Chadi Ayoub

A 69-year-old female presented with symptomatic atrial fibrillation. Cardiac amyloidosis was suspected due to an artificial intelligence clinical tool applied to the presenting electrocardiogram predicting a high probability for amyloidosis, and the subsequent unexpected finding of left atrial appendage thrombus reinforced this clinical suspicion. This facilitated an early diagnosis by the biopsy of AL cardiac amyloidosis and the prompt initiation of targeted therapy. This case highlights the utilization of an AI clinical tool and its impact on clinical care, particularly for the early detection of a rare and difficult to diagnose condition where early therapy is critical.

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