Citation sources

Updated weekly. Details via Crossref

Crossref	Scopus	Google Scholar
16	14	Search

2025	Comparison of artificial intelligence and logistic regression models for mortality prediction in acute respiratory distress syndrome: a systematic review and meta-analysis Intensive Care Medicine Experimental Yang He, Ning Liu, Jie Yang, Yucai Hong, Hongying Ni, Zhongheng Zhang
2025	Prediction Models for Mortality in Patients With Moderate to Severe ARDS Treated in the ICU CHEST Critical Care Katrijn Daenen, Sara C.M. Stoof, Hugo van Willigen, Anders Boyd, Virgil A.S.H. Dalm, Diederik A.M.P.J. Gommers, Eric C.M. van Gorp, Abraham J. Valkenburg, Henrik Endeman, Jilske A. Huijben
2024	Artificial Intelligence for Mechanical Ventilation: A Transformative Shift in Critical Care Therapeutic Advances in Pulmonary and Critical Care Medicine Giovanni Misseri, Matteo Piattoli, Giuseppe Cuttone, Cesare Gregoretti, Elena Giovanna Bignami
2024	A systematic review of machine learning models for management, prediction and classification of ARDS Respiratory Research Tu K. Tran, Minh C. Tran, Arun Joseph, Phi A. Phan, Vicente Grau, Andrew D. Farmery
2024	Multipotent mesenchymal stromal/stem cell-based therapies for acute respiratory distress syndrome: current progress, challenges, and future frontiers Brazilian Journal of Medical and Biological Research M. Sababathy, G. Ramanathan, S. Ganesan, S. Sababathy, A.R. Yasmin, R. Ramasamy, J.B. Foo, Q.H. Looi, S.H. Nur-Fazila
2024	Digital health delivery in respiratory medicine: adjunct, replacement or cause for division? European Respiratory Review Ciara Ottewill, Margaret Gleeson, Patrick Kerr, Elaine Mac Hale, Richard W. Costello
2023	Lecture Notes in Networks and Systems Balakrishnan Mullachery, Sarah Alismail
2023	Risk of Acute Respiratory Distress Syndrome in Community-Acquired Pneumonia Patients: Use of an Artificial Neural Network Model Emergency Medicine International Jipeng Mo, Shihui Ling, Mingxia Yang, Hui Qin
2022	Artificial intelligence in acute respiratory distress syndrome: A systematic review Artificial Intelligence in Medicine Muhammed Rashid, Manasvini Ramakrishnan, Viji Pulikkel Chandran, Siddeshappa Nandish, Sreedharan Nair, Vishal Shanbhag, Girish Thunga
2022	Prognostic value of glucose‐to‐lymphocyte ratio in critically ill patients with acute respiratory distress syndrome: A retrospective cohort study Journal of Clinical Laboratory Analysis Yi Zhang, Shuo Zhang
2022	Multi-Modal Data Analysis for Pneumonia Status Prediction Using Deep Learning (MDA-PSP) Diagnostics Ruey-Kai Sheu, Lun-Chi Chen, Chieh-Liang Wu, Mayuresh Sunil Pardeshi, Kai-Chih Pai, Chien-Chung Huang, Chia-Yu Chen, Wei-Cheng Chen
2022	Optimal selection of COVID-19 vaccination sites in the Philippines at the municipal level PeerJ Kurt Izak Cabanilla, Erika Antonette T. Enriquez, Arrianne Crystal Velasco, Victoria May P. Mendoza, Renier Mendoza
2021	Improvement of APACHE II score system for disease severity based on XGBoost algorithm BMC Medical Informatics and Decision Making Yan Luo, Zhiyu Wang, Cong Wang
2021	Can Big Data and Machine Learning Improve Our Understanding of Acute Respiratory Distress Syndrome? Cureus Sanket Bhattarai, Ashish Gupta, Eiman Ali, Moeez Ali, Mohamed Riad, Prakash Adhikari, Jihan A Mostafa
2020	Monitoring Big Data During Mechanical Ventilation in the ICU Respiratory Care Craig D Smallwood
2020	A New Hybrid Predictive Model to Predict the Early Mortality Risk in Intensive Care Units on a Highly Imbalanced Dataset IEEE Access Ramin Ghorbani, Rouzbeh Ghousi, Ahmad Makui, Alireza Atashi