Physics-Informed Neural Network for Modeling the Pulmonary Artery Blood Pressure from Magnetic Resonance Images: A Reduced-Order Navier-Stokes Model.

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

Who cites it

3 citing papers in PubMed.

1. Comparative accuracy of mean pulmonary artery pressure estimation using transthoracic echocardiography versus phase-contrast MRI in healthy adults.Quantitative imaging in medicine and surgery · 2026
   Article
2. Pulmonary Arterial Hypertension: From Molecular Basis to Therapeutic Approaches.Biomedicines · 2026
   Article
3. Physics-Informed Emulation of Systemic Circulation for Fast Parameter Estimation and Uncertainty Quantification.International journal for numerical methods in biomedical engineering · 2026
   Article

Corrections and comments

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Authors and funding

7 authors.

Funding

Abstract

PubMed holds no abstract for this paper.

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