AI for cardiac amyloidosis is most mature for bone-scintigraphy detection and SPECT/CT tracer-burden quantification; subtype classification, prognosis, and treatment-response monitoring remain early-stage and need multimodal, longitudinally validated systems.
Epidemiology of Cardiac Amyloidosis–Associated Heart Failure Hospitalizations Among Fee-for-Service Medicare Beneficiaries in the United States
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Artificial Intelligence Across the Cardiac Amyloidosis Diagnostic Pathway: From Single-Modality Detection to Multimodal Clinical Integration
AI for cardiac amyloidosis is most mature for bone-scintigraphy detection and SPECT/CT tracer-burden quantification; subtype classification, prognosis, and treatment-response monitoring remain early-stage and need multimodal, longitudinally validated systems.