Article

DIA-PINN. A physics-informed machine learning method to estimate global intrinsic diastolic chamber properties of the left ventricle from pressure-volume data

2026-03-06

Abstract excerpt

<h4>Background</h4> Pressure–volume (PV) loop analysis remains the gold standard for assessing the intrinsic global diastolic properties of the left ventricle (LV). Traditional fitting techniques rely on local, phase-constrained fittings and are limited due to their sensitivity to noise, landmark selection, violation of assumptions, and non-convergence. <h4>Objective</h4> To develop and validate DIA-PINN, a phys...

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Literature Corpus work: b7102ddf-98cc-5980-8731-27f12e03434b
DOI: 10.64898/2026.03.02.26347245

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