Accurate assessment of mean pulmonary arterial pressure (mPAP) is key to the diagnosis, haemodynamic classification and follow-up of pulmonary hypertension. The article, authored by French researcher at Le Kremlin-Bicêtre, France, requires permissions in order to access the full text, so we are only able to use the shareable abstract which reads “Large real-world datasets analysed with machine learning offer an opportunity to refine mean pulmonary artery pressure estimation, confirm prior pressure relationships, and compare population-fitted equations with calibration-free formulations“.
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Citation
Chemla D, Hervé P, Humbert M, Montani D. Estimating mean pulmonary arterial pressure in the machine learning era. Eur Respir J. 2026 Oct 9;68(4):2601466. doi: 10.1183/13993003.01466-2026. PMID: 42855187.