Mechanical and Computer Models of Pulmonary Vascular Disease

Adapting the REVEAL Lite 2 score to the pediatric population through machine learning: insights from the REHIPED registry for pediatric pulmonary hypertension

Julia Playán-Escribano, Carlos Labrandero de Lera, Leticia Albert de la Torre,  Alejandro Rodríguez-Ogando, Antonio Moreno-Galdó, Inmaculada Guillén Rodríguez, Anna Sabaté-Rotés, Amparo Moya-Bonora, Lina María Caicedo Cuenca, María Jesús del Cerro, on behalf of the REHIPED investigatorsHospital General Universitario Gregorio Marañón. Hospital Universitario del Sureste, Arganda del Rey. Universidad Complutense de Madrid. Hospital Universitario La Paz. Hospital Universitario 12 de Octubre. Hospital General Universitario Gregorio Marañón. Hospital Universitari Vall d’Hebron, Vall d’Hebron Barcelona Hospital Campus, […]

Adapting the REVEAL Lite 2 score to the pediatric population through machine learning: insights from the REHIPED registry for pediatric pulmonary hypertension Read More »

Predicting pulmonary hypertension in infants with bronchopulmonary dysplasia

Henry P. Foote, Minghui Sun, Benjamin Alan Goldstein, Kevin D. Hill, Rachel G. Greenberg, Samuel J. Gentle, Kanecia O. Zimmerman, Rishikesan Kameleswaran, Veeral N. Tolia, Matthew M. Laughon, Wesley Jackson, Christoph P. HornikDuke University Medical Center and Duke University. Yale University School of Medicine. Baylor University Medical Center. University of North Carolina. United States Journal

Predicting pulmonary hypertension in infants with bronchopulmonary dysplasia Read More »

Jinlong Liu, Xiafeng Yu, Jiwen Xiong, Yi Yan, Yanjun Sun, Yumin Zhong, Hao ZhangShanghai Children’s Medical Center and Shanghai Jiao Tong University School of Medicine.China Frontiers in Bioengineering and BiotechnologyFront Bioeng Biotechnol 2026; 13: DOI: 10.3389/fbioe.2025.1697468 AbstractObjectives: Reverse Potts shunt is a promising yet high-risk therapy for pediatric pulmonary arterial hypertension. Postoperative hemodynamics is critically influenced by

Read More »

Deep Learning-Based Prediction of Cardiopulmonary Disease in Retinal Images of Premature Infants

Praveer Singh, Sourav Kumar, Riya Tyagi, Benjamin K. Young, Brian K. Jordan, Brian Scottoline, Patrick D. Evers, Susan Ostmo, Aaron S. Coyner, Wei-Chun Lin, Aarushi Gupta, Deniz Erdogmus, Paul Chan, Emily A. McCourt, James S. Barry, Cindy T. McEvoy, Micheal F. Chiang, Peter Campbell, Jayashree Kalpathy-CramerUniversity of Colorado School of Medicine. Massachusetts General Hospital and

Deep Learning-Based Prediction of Cardiopulmonary Disease in Retinal Images of Premature Infants Read More »

Construction of an early diagnostic model for pulmonary hypertension based on aging-related signature genes and identification of potential therapeutic targets

MengzeWang, Jiafei Lu, Xinyu Li, Huating Xie, Junjie Liang, Jun Luo, Xishu Deng, Guoquan Pan, Bowen Ji, Xiaojie DingKunming Children’s Hospital. Southern Medical University. Second Affiliated Hospital and Yuying Children’s Hospital of Wenzhou Medical University. Taizhou Central Hospital (Taizhou University Hospital). Second Hospital of Jiaxing and Second Affiliated Hospital of Jiaxing University. Zhejiang Rongjun Hospital.

Construction of an early diagnostic model for pulmonary hypertension based on aging-related signature genes and identification of potential therapeutic targets Read More »

Development and validation of a pre-trained language model for neonatal morbidities: a retrospective, multicentre, prognostic study

Feng Xie, Philip Chung, Jonathan D. Reiss, Erico Tjoa, Davide De Francesco, Thanaphong Phongpreecha, William Haberkorn, Dipro Chakraborty, Alan Lee Chang, Tomin James, Yeasul Kim, Samson Mataraso, Camilo Espinosa, Liu Yang, Chi-Hung Shu, Lei Xue, Eloïse Berson, Neshat Mohammadi, Sayane Shome, S Momsen Reincke, Marc Ghanem, Ivana Maric, Brice Gaudilliere, Martin S Angst, Karl Sylvester,

Development and validation of a pre-trained language model for neonatal morbidities: a retrospective, multicentre, prognostic study Read More »

AI learning for pediatric right ventricular assessment: development and validation across multiple centers

Charitha Reddy, Yi Yan, Min Qiu, Yi Tang, Bo Jin, Zhi Han, Yuhang Li, Sihan Zhou, Qiming Tang, Huan Xiao, Shu Yang, Qigui Wen, Lan-Ping Wu, Li-Jun Fu, Ze-Yu Jing, Yi-Jia Yang, Yu-Qi Zhang, Naoto Ozawa, Takumi Ichikawa, Ellen Ling, Ronald J. Wong, Nima Aghaeepour, Brice Gaudilliere, Martin S. Angst, Karl G. Sylvester, Harvey J.

AI learning for pediatric right ventricular assessment: development and validation across multiple centers Read More »

Hepatic vein-derived factors may affect pulmonary arteriovenous malformations after single ventricle palliation by modulating vascular cell behavior

Laura Yuriko González-Teshima, Keisuke Hakamada, Kozue Murata, Reiko Nakagawa, Shiro Baba, Yujiro Ide, Maiko Okamura, Akio Ikai, Tadashi Ikeda, Kenji Minatoya, Masaya Hagiwara, Masaya Ikegawa, Hidetoshi MasumotoKyoto University Graduate School of Medicine. RIKEN Center for Biosystems Dynamics Research. Doshisha University. Shizuoka General Hospital. Japan Scientific ReportsSci Rep 2025; 15: DOI: 10.1038/s41598-025-25523-1 AbstractPulmonary arteriovenous malformations (PAVM) are

Hepatic vein-derived factors may affect pulmonary arteriovenous malformations after single ventricle palliation by modulating vascular cell behavior Read More »

A multimodal multipath AI system for assessing PAH after VSD correction on echocardiography and chest radiography images

Gang Luo, Huashu Liu, Zhixin Li, Zhixian Ji, Silin PanWomen and Children’s Hospital, Qingdao Central Hospital and Qindao Medical College of Qingdao University. China Scientific ReportsSci Rep 2025; 15: DOI: 10.1038/s41598-025-19584-5 AbstractDeveloping a novel artificial intelligence (AI) system that can automatically detect pulmonary arterial hypertension (PAH) after correcting the ventricular septal defect (VSD) and to help

A multimodal multipath AI system for assessing PAH after VSD correction on echocardiography and chest radiography images Read More »

Pulmonary Vascular Compromise Is Associated With Survival in Pediatric Pulmonary Hypertension: A New Computational Model

Maria Niccum, Catherine M. Avitabile, Dana Albizem, Heather Meluskey, Christopher Penney, Brian D. Hanna, Michael L. O’Byrne, Zoheir Bshouty, David B. FrankPerelman School of Medicine at the University of Pennsylvania and Children’s Hospital of Philadelphia. University of Manitoba.United States and Canada Pulmonary CirculationPulm Circ 2025; 15: DOI: 10.1002/pul2.70156 AbstractPediatric pulmonary arterial hypertension (PAH) has a long

Pulmonary Vascular Compromise Is Associated With Survival in Pediatric Pulmonary Hypertension: A New Computational Model Read More »

Scroll to Top