AI applications in cardiac amyloidosis diagnosis reviewed

A new review paper details the application of artificial intelligence across the diagnostic pathway for cardiac amyloidosis. The paper categorizes AI models by clinical tasks such as screening, detection, quantification, prognosis, and treatment response monitoring, rather than by input modality. While AI-assisted detection and quantification, particularly using bone scintigraphy and SPECT/CT, are nearing clinical translation, tasks like subtype classification, prognostic risk stratification, and treatment response monitoring are still in early stages of development. AI

IMPACT This review highlights the potential for AI to improve the diagnosis and management of cardiac amyloidosis, with some applications nearing clinical readiness.

RANK_REASON The cluster contains a single academic paper detailing research findings. [lever_c_demoted from research: ic=1 ai=1.0]

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• artificial intelligence
• bone scintigraphy
• cardiac amyloidosis
• cardiac magnetic resonance imaging
• echocardiography
• electrocardiography
• Light chain deposition disease
• SPECT/CT Imaging of Skeletal Muscle Perfusion
• TTR

• paper
• other

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