Artificial intelligence-based assessment of central aortic haemodynamics using non-invasive pulse wave analysis in constrictive pericarditis
Mathieu N Suleiman, Oliver Dewald, Helena Dreher, Ann-Sophie Kaemmerer-Suleiman, Frank Klawonn, Martin Middeke, Robert Pittrow, Frank Harig, Fritz Mellert · 2025
Read Artificial intelligence-based assessment of central aortic haemodynamics using non-invasive pulse wave analysis in constrictive pericarditis by Mathieu N Suleiman, Oliver Dewald, Helena Dreher, Ann-Sophie Kaemmerer-Suleiman, Frank Klawonn, Martin Middeke, Robert Pittrow, Frank Harig, Fritz Mellert (2025) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-12766839.txt.
Description
Mathieu Suleiman and co-authors present a 2025 study of an AI based pulse wave tool in a rare heart sac disease. In constrictive pericarditis, a stiff sac chokes heart filling and mimics other causes of heart failure, which makes diagnosis hard. The tool reads central pressure and stiffness from a non invasive pulse signal.
The case control study enrolled 12 adult patients and 12 matched healthy controls. A cuff device read central and arm pressure, wave speed, and pump measures for both groups. Patients showed central pressure well below their arm systolic value. Wave speed ran high in the patient group. The authors weigh the tool as an aid for diagnosis and care choices in this rare disease.
Catalog record
| CREATOR | Mathieu N Suleiman, Oliver Dewald, Helena Dreher, Ann-Sophie Kaemmerer-Suleiman, Frank Klawonn, Martin Middeke, Robert Pittrow, Frank Harig, Fritz Mellert |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 41 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |