{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,10]],"date-time":"2026-06-10T22:00:26Z","timestamp":1781128826842,"version":"3.54.1"},"reference-count":10,"publisher":"Oxford University Press (OUP)","issue":"4","license":[{"start":{"date-parts":[[2024,10,28]],"date-time":"2024-10-28T00:00:00Z","timestamp":1730073600000},"content-version":"vor","delay-in-days":27,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"DOI":"10.13039\/100020626","name":"MILAB","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100020626","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000780","name":"European Union","doi-asserted-by":"publisher","award":["TKP2021-NVA-12"],"award-info":[{"award-number":["TKP2021-NVA-12"]}],"id":[{"id":"10.13039\/501100000780","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Ministry of Innovation and Technology"},{"DOI":"10.13039\/501100012550","name":"National Research, Development, and Innovation Fund","doi-asserted-by":"publisher","award":["TKP2021-NVA"],"award-info":[{"award-number":["TKP2021-NVA"]}],"id":[{"id":"10.13039\/501100012550","id-type":"DOI","asserted-by":"publisher"}]},{"name":"J\u00e1nos Bolyai Research Scholarship"},{"DOI":"10.13039\/501100003825","name":"Hungarian Academy of Sciences","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003825","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,10,23]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Aims<\/jats:title>\n                    <jats:p>Conventional echocardiographic parameters of right ventricular (RV) function are afterload-dependent. Therefore, incorporating RV pressures may enable the formulation of new parameters that reflect intrinsic RV function accurately. Accordingly, we sought to develop an artificial intelligence\u2013based method to reconstruct the RV pressure curve based on the peak RV pressure.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods and Results<\/jats:title>\n                    <jats:p>We invasively acquired RV pressure in 29 heart failure patients before and after implanting a left ventricular (LV) assist device. Using these tracings, we trained various machine learning models to reconstruct the RV pressure curve of the entire cardiac cycle based on the peak value of the curve. The best-performing model was compared with two other methods that estimated RV pressures based on a reference LV and RV pressure curve, respectively. Seventeen consecutive patients from another centre who underwent right heart catheterization and simultaneous echocardiography served as an external validation cohort. Among the evaluated algorithms, multilayer perceptron (MLP) achieved the best performance with an R2 of 0.887 (0.834\u20130.941). The RV and LV reference curve\u2013based methods achieved R2 values of 0.879 (0.815\u20130.943) and 0.636 (0.500\u20130.771), respectively. During external validation, MLP exhibited similarly good performance [R2 0.911 (0.873\u20130.948)], which decreased only modestly if the echocardiography-derived peak RV pressure was used instead of the invasively measured peak RV pressure [R2 0.802 (0.694\u20130.909)].<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>The proposed method enables the reconstruction of the RV pressure curve using only the peak value as input. Thus, it may serve as a fundamental component for developing new echocardiographic tools targeting the afterload-adjusted assessment of RV function.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1093\/ehjimp\/qyae099","type":"journal-article","created":{"date-parts":[[2024,9,23]],"date-time":"2024-09-23T15:20:46Z","timestamp":1727104846000},"source":"Crossref","is-referenced-by-count":7,"title":["Artificial intelligence-enabled reconstruction of the right ventricular pressure curve using the peak pressure value: a proof-of-concept study"],"prefix":"10.1093","volume":"2","author":[{"given":"\u00c1d\u00e1m","family":"Szij\u00e1rt\u00f3","sequence":"first","affiliation":[{"name":"Heart and Vascular Center, Semmelweis University , V\u00e1rosmajor Str. 68, Budapest H-1122 ,","place":["Hungary"]},{"name":"Argus Cognitive, Inc. , 35 South Main Street, Hanover, NH 03755 ,","place":["USA"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alina","family":"Nicoara","sequence":"additional","affiliation":[{"name":"Department of Anesthesiology, Duke University Medical Center , 2301 Erwin Road, Durham, NC 27710 ,","place":["USA"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mihai","family":"Podgoreanu","sequence":"additional","affiliation":[{"name":"Department of Anesthesiology, Duke University Medical Center , 2301 Erwin Road, Durham, NC 27710 ,","place":["USA"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3036-4131","authenticated-orcid":false,"given":"M\u00e1rton","family":"Tokodi","sequence":"additional","affiliation":[{"name":"Heart and Vascular Center, Semmelweis University , V\u00e1rosmajor Str. 68, Budapest H-1122 ,","place":["Hungary"]},{"name":"Department of Experimental Cardiology and Surgical Techniques, Semmelweis University , Budapest ,","place":["Hungary"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8449-0638","authenticated-orcid":false,"given":"Alexandra","family":"F\u00e1bi\u00e1n","sequence":"additional","affiliation":[{"name":"Heart and Vascular Center, Semmelweis University , V\u00e1rosmajor Str. 68, Budapest H-1122 ,","place":["Hungary"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6514-0723","authenticated-orcid":false,"given":"B\u00e9la","family":"Merkely","sequence":"additional","affiliation":[{"name":"Heart and Vascular Center, Semmelweis University , V\u00e1rosmajor Str. 68, Budapest H-1122 ,","place":["Hungary"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Andr\u00e1s","family":"S\u00e1rk\u00e1ny","sequence":"additional","affiliation":[{"name":"Argus Cognitive, Inc. , 35 South Main Street, Hanover, NH 03755 ,","place":["USA"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zolt\u00e1n","family":"T\u0151s\u00e9r","sequence":"additional","affiliation":[{"name":"Argus Cognitive, Inc. , 35 South Main Street, Hanover, NH 03755 ,","place":["USA"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sergio","family":"Caravita","sequence":"additional","affiliation":[{"name":"Department of Cardiology, Istituto Auxologico Italiano, IRCCS , Milan ,","place":["Italy"]},{"name":"Department of Management, Information and Production Engineering, University of Bergamo , Dalmine (BG) ,","place":["Italy"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3472-4851","authenticated-orcid":false,"given":"Claudia","family":"Baratto","sequence":"additional","affiliation":[{"name":"Department of Cardiology, Istituto Auxologico Italiano, IRCCS , Milan ,","place":["Italy"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michele","family":"Tomaselli","sequence":"additional","affiliation":[{"name":"Department of Cardiology, Istituto Auxologico Italiano, IRCCS , Milan ,","place":["Italy"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2514-3668","authenticated-orcid":false,"given":"Denisa","family":"Muraru","sequence":"additional","affiliation":[{"name":"Department of Cardiology, Istituto Auxologico Italiano, IRCCS , Milan ,","place":["Italy"]},{"name":"Department of Medicine and Surgery, University of Milano-Bicocca , Milan ,","place":["Italy"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Luigi Paolo","family":"Badano","sequence":"additional","affiliation":[{"name":"Department of Cardiology, Istituto Auxologico Italiano, IRCCS , Milan ,","place":["Italy"]},{"name":"Department of Medicine and Surgery, University of Milano-Bicocca , Milan 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