Research map: The role of artificial intelligence in the diagnosis of pericardial constriction

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  19. Differentiation of Constriction and Restriction · Jeffrey Benjamin Geske · 2016 · 131 citations · Cited by this paper
  20. Few-shot learning for medical text: A review of advances, trends, and opportunities · Yao Ge · 2023 · 106 citations · Cited by this paper
  21. Diagnosis, Risk Stratification, and Treatment of Pericarditis · Paul C Cremer · 2024 · 101 citations · Cited by this paper
  22. 2025 Concise Clinical Guidance: An ACC Expert Consensus Statement on the Diagnosis and Management of Pericarditis · Tom Kai Ming Wang · 2025 · 101 citations · Cited by this paper
  23. Constrictive Pericarditis · Partho P. Sengupta · 2008 · 74 citations · Cited by this paper
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  25. Artificial intelligence in cardiovascular CT: Current status and future implications · Andrew Lin · 2021 · 53 citations · Cited by this paper
  26. Echocardiography-Based Deep Learning Model to Differentiate Constrictive Pericarditis and Restrictive Cardiomyopathy · Chieh‐Ju Chao · 2023 · 44 citations · Cited by this paper
  27. The Utility of Cardiovascular Magnetic Resonance in Constrictive Pericardial Disease · Vignendra Ariyarajah · 2009 · 34 citations · Cited by this paper
  28. Multimodality Imaging of Constrictive Pericarditis: Pathophysiology and New Concepts · Sumit Sohal · 2022 · 33 citations · Cited by this paper
  29. Multiple coupled resonances in the human vascular tree: refining the Westerhof model of the arterial system · Gerhard Schumacher · 2017 · 26 citations · Cited by this paper
  30. Generative Pre-trained Transformer 4 analysis of cardiovascular magnetic resonance reports in suspected myocarditis: A multicenter study · Kenan Kaya · 2024 · 21 citations · Cited by this paper
  31. Real-World Artificial Intelligence–Based Electrocardiographic Analysis to Diagnose Hypertrophic Cardiomyopathy · Milind Y. Desai · 2025 · 19 citations · Cited by this paper
  32. Automatic quantification of myocardium and pericardial fat from coronary computed tomography angiography: a multicenter study · Xiuxiu He · 2020 · 10 citations · Cited by this paper
  33. A novel multi-task machine learning classifier for rare disease patterning using cardiac strain imaging data · Nanda Krishnan Siva · 2024 · 7 citations · Cited by this paper
  34. A deep foundation model for electrocardiogram interpretation: enabling rare disease detection through transfer learning · Stephanie M Hu · 2025 · 7 citations · Cited by this paper
  35. How to Use Multimodality Imaging for Pericarditis · Joseph El Roumi · 2026 · 3 citations · Cited by this paper
  36. Perioperative and Surgical Management of Constrictive Pericarditis · Lamis El Harake · 2026 · 3 citations · Cited by this paper
  37. Deep learning-based multi-view echocardiographic framework for comprehensive diagnosis of pericardial disease · Sihyeon Jeong · 2026 · 2 citations · Cited by this paper
  38. Validation of a deep learning approach for epicardial adipose tissue segmentation in computed tomography · Rúben Baeza · 2025 · 2 citations · Cited by this paper
  39. Artificial intelligence-based assessment of central aortic haemodynamics using non-invasive pulse wave analysis in constrictive pericarditis · Mathieu N. Suleiman · 2025 · 2 citations · Cited by this paper

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