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Artificial Intelligence in Cardiac Amyloidosis: A State-of-the-Art Review

Syed Bukhari1

  • 1Division of Cardiology, School of Medicine, Johns Hopkins University, Baltimore, MD 21205, USA.

Journal of Clinical Medicine
|May 4, 2026
PubMed

Insights

Cardiac amyloidosis (CA) is often missed due to subtle signs. Artificial intelligence (AI) is improving early detection and diagnosis of CA by analyzing complex data from various cardiac imaging tests.

Area of Science:

  • Cardiology
  • Medical Imaging
  • Artificial Intelligence

Background:

  • Cardiac amyloidosis (CA) is frequently underdiagnosed, often presenting with symptoms overlapping other heart conditions like hypertrophic cardiomyopathy.
  • Diagnostic delays in CA occur because key indicators can be subtle, atypical, or missed, especially in early disease stages.

Purpose of the Study:

  • To review the current applications of artificial intelligence (AI) in diagnosing cardiac amyloidosis (CA) using multimodal testing.
  • To highlight AI's potential in overcoming diagnostic challenges associated with CA's subtle and overlapping clinical features.

Main Methods:

  • Review of current literature on AI applications in cardiovascular imaging for CA diagnosis.
  • Synthesis of AI's role in electrocardiography, echocardiography, cardiac magnetic resonance, and nuclear scintigraphy for CA evaluation.

Main Results:

  • AI-enhanced electrocardiography shows high performance for scalable CA screening and early detection.
  • AI in echocardiography improves standardization and reduces variability in video-based analysis.
  • AI tools for cardiac MRI and nuclear imaging enable automated quantification and reproducible assessment of amyloid burden.

Conclusions:

  • AI offers a powerful approach to detect subtle disease signatures in CA, integrating multimodal and longitudinal data.
  • AI applications are advancing CA diagnosis, phenotyping, risk stratification, and treatment monitoring, leading to earlier and more accurate patient management.

Keywords:
ECGartificial intelligencecardiac amyloidosiscardiac magnetic resonance imagingechocardiogramnuclear scintigraphy

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