Multi-Modal Data Analysis for Pneumonia Status Prediction Using Deep Learning (MDA-PSP)

Large-scale screening of COVID-19 from community acquired pneumonia using infection size-aware classification

(2021) Feng Shi et al.   PHYSICS IN MEDICINE AND BIOLOGY

Digital Imaging, Technologies and Artificial Intelligence Applications during COVID-19 pandemic

(2021) Mustafa Alhasan et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

A COVID-19 pandemic AI-based system with deep learning forecasting and automatic statistical data acquisition: Development and Implementation Study (Preprint)

(2021) Cheng-Sheng Yu et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

Prognostic factors in nursing and healthcare-associated pneumonia

(2020) Akira Yamagata et al.   JOURNAL OF INFECTION AND CHEMOTHERAPY

A new method for identifying the acute respiratory distress syndrome disease based on noninvasive physiological parameters

(2020) Pengcheng Yang et al.   PLoS One

Time Course of Lung Changes On Chest CT During Recovery From 2019 Novel Coronavirus (COVID-19) Pneumonia

(2020) Feng Pan et al.   RADIOLOGY

A Novel Transfer Learning Based Approach for Pneumonia Detection in Chest X-ray Images

(2020) Vikash Chouhan et al.   Applied Sciences-Basel

Machine Learning Classifier Models Can Identify ARDS Phenotypes Using Readily Available Clinical Data

(2020) Pratik Sinha et al.   AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE

Leveraging IoTs and Machine Learning for Patient Diagnosis and Ventilation Management in the Intensive Care Unit

(2020) Gregory B. Rehm et al.   IEEE PERVASIVE COMPUTING

A Deep Learning System to Screen Novel Coronavirus Disease 2019 Pneumonia

(2020) Xiaowei Xu et al.   Engineering

Supervised machine learning for the early prediction of acute respiratory distress syndrome (ARDS)

(2020) Sidney Le et al.   JOURNAL OF CRITICAL CARE

A Bayesian Network–Based Browsing Model for Patients Seeking Radiology-Related Information on Hospital Websites: Development and Usability Study

(2020) Ryusuke Suzuki et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

Viral Pneumonia Screening on Chest X-Rays Using Confidence-Aware Anomaly Detection

(2020) Jianpeng Zhang et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

A Comprehensive Overview of the COVID-19 Literature: Machine Learning–Based Bibliometric Analysis

(2020) Alaa Abd-Alrazaq et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

Machine learning for patient risk stratification for acute respiratory distress syndrome

(2019) Daniel Zeiberg et al.   PLoS One

Using machine learning models to predict oxygen saturation following ventilator support adjustment in critically ill children: A single center pilot study

(2019) Sam Ghazal et al.   PLoS One

A Human(e) Factor in Clinical Decision Support Systems

(2019) Tim Bezemer et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

Predictive model for acute respiratory distress syndrome events in ICU patients in China using machine learning algorithms: a secondary analysis of a cohort study

(2019) Xian-Fei Ding et al.   Journal of Translational Medicine

Prediction model for patients with acute respiratory distress syndrome: use of a genetic algorithm to develop a neural network model

(2019) Zhongheng Zhang   PeerJ

Bone suppression for chest X-ray image using a convolutional neural filter

(2019) Naoki Matsubara et al.   AUSTRALASIAN PHYSICAL & ENGINEERING SCIENCES IN MEDICINE

Accounting for Label Uncertainty in Machine Learning for Detection of Acute Respiratory Distress Syndrome

(2018) Narathip Reamaroon et al.   IEEE Journal of Biomedical and Health Informatics

Computer-aided detection in chest radiography based on artificial intelligence: a survey

(2018) Chunli Qin et al.   Biomedical Engineering Online

Recommendations and guidelines for the treatment of pneumonia in Taiwan

(2018) Chih-Chen Chou et al.   JOURNAL OF MICROBIOLOGY IMMUNOLOGY AND INFECTION

Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists

(2018) Pranav Rajpurkar et al.   PLOS MEDICINE

Predicting all-cause risk of 30-day hospital readmission using artificial neural networks

(2017) Mehdi Jamei et al.   PLoS One

Length of Hospital Stay Prediction at the Admission Stage for Cardiology Patients Using Artificial Neural Network

(2016) Pei-Fang (Jennifer) Tsai et al.   Journal of Healthcare Engineering

Predictors and Implications of Early Clinical Stability in Patients Hospitalized for Moderately Severe Community-Acquired Pneumonia

(2016) Nicolas Garin et al.   PLoS One

Community-acquired pneumonia

(2015) Elena Prina et al.   LANCET

Early versus later response to treatment in patients with community-acquired pneumonia: analysis of the REACH study

(2014) Francesco Blasi et al.   RESPIRATORY RESEARCH

Impact of infectious etiology on the outcome of Taiwanese patients hospitalized with community acquired pneumonia

(2013) Yuan-Ti Lee et al.   Journal of Infection in Developing Countries

Antimicrobial drug-resistant microbes associated with hospitalized community-acquired and healthcare-associated pneumonia: A multi-center study in Taiwan

(2012) Chieh-Liang Wu et al.   JOURNAL OF THE FORMOSAN MEDICAL ASSOCIATION

Association Between Time to Clinical Stability and Outcomes After Discharge in Hospitalized Patients With Community-Acquired Pneumonia

(2011) Stefano Aliberti et al.   CHEST

Seven-day antibiotic courses have similar efficacy to prolonged courses in severe community-acquired pneumonia—a propensity-adjusted analysis

(2011) G. Choudhury et al.   CLINICAL MICROBIOLOGY AND INFECTION

Comparison of clinical characteristics and performance of pneumonia severity score and CURB-65 among younger adults, elderly and very old subjects

(2010) J.-H. Chen et al.   THORAX

Repeated Pneumonia Severity Index Measurement After Admission Increases its Predictive Value for Mortality in Severe Community-acquired Pneumonia

(2009) Chiung-Zuei Chen et al.   JOURNAL OF THE FORMOSAN MEDICAL ASSOCIATION

Epidemiology and clinical outcomes of community-acquired pneumonia in adult patients in Asian countries: a prospective study by the Asian network for surveillance of resistant pathogens

(2008) Jae-Hoon Song et al.   INTERNATIONAL JOURNAL OF ANTIMICROBIAL AGENTS