相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Artificial Intelligence for Interstitial Lung Disease Analysis on Chest Computed Tomography: A Systematic Review
Shelly Soffer et al.
ACADEMIC RADIOLOGY (2022)
Prospective machine learning CT quantitative evaluation of idiopathic pulmonary fibrosis in patients undergoing anti-fibrotic treatment using low- and ultra-low-dose CT
C. W. Koo et al.
CLINICAL RADIOLOGY (2022)
Temporal Differential Expression of Physiomarkers Predicts Sepsis in Critically Ill Adults
Akram Mohammed et al.
SHOCK (2021)
A Soft Voting Ensemble-Based Model for the Early Prediction of Idiopathic Pulmonary Fibrosis (IPF) Disease Severity in Lungs Disease Patients
Sikandar Ali et al.
LIFE-BASEL (2021)
Comparison and Fusion of Machine Learning Algorithms for Prospective Validation of PET/CT Radiomic Features Prognostic Value in Stage II-III Non-Small Cell Lung Cancer
Shima Sepehri et al.
DIAGNOSTICS (2021)
Beyond the d-dimer-Machine-learning assisted pre-test probability evaluation in patients with suspected pulmonary embolism and elevated d-dimers
Joshua Gawlitza et al.
THROMBOSIS RESEARCH (2021)
Developing Machine Learning Algorithms to Predict Pulmonary Complications After Emergency Gastrointestinal Surgery
Qiong Xue et al.
FRONTIERS IN MEDICINE (2021)
Artificial Intelligence and Machine Learning in Chronic Airway Diseases: Focus on Asthma and Chronic Obstructive Pulmonary Disease
Yinhe Feng et al.
INTERNATIONAL JOURNAL OF MEDICAL SCIENCES (2021)
Automated Computed Tomography analysis in the assessment of Idiopathic Pulmonary Fibrosis severity and progression
Chiara Romei et al.
EUROPEAN JOURNAL OF RADIOLOGY (2020)
Development of a Bioinformatics Framework for Identification and Validation of Genomic Biomarkers and Key Immunopathology Processes and Controllers in Infectious and Non-infectious Severe Inflammatory Response Syndrome
Dong Ling Tong et al.
FRONTIERS IN IMMUNOLOGY (2020)
Machine Learning Classifier Models Can Identify Acute Respiratory Distress Syndrome Phenotypes Using Readily Available Clinical Data
Pratik Sinha et al.
AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE (2020)
Predicting respiratory failure after pulmonary lobectomy using machine learning techniques
Siavash Bolourani et al.
SURGERY (2020)
In-silico drug repurposing study predicts the combination of pirfenidone and melatonin as a promising candidate therapy to reduce SARS-CoV-2 infection progression and respiratory distress caused by cytokine storm
Laura Artigas et al.
PLOS ONE (2020)
Development of a support vector machine learning and smart phone Internet of Things-based architecture for real-time sleep apnea diagnosis
Bin Ma et al.
BMC MEDICAL INFORMATICS AND DECISION MAKING (2020)
Predicting the need for intubation in the first 24 h after critical care admission using machine learning approaches
Benjamin Ming Kit Siu et al.
SCIENTIFIC REPORTS (2020)
Putting artificial intelligence (AI) on the spot: machine learning evaluation of pulmonary nodules
Yasmeen K. Tandon et al.
JOURNAL OF THORACIC DISEASE (2020)
Comparing regression and neural network techniques for personalized predictive analytics to promote lung protective ventilation in Intensive Care Units
Rachael Hagan et al.
COMPUTERS IN BIOLOGY AND MEDICINE (2020)
Computed Tomographic Biomarkers in Idiopathic Pulmonary Fibrosis The Future of Quantitative Analysis
Xiaoping Wu et al.
AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE (2019)
Semantic Segmenation of Pathological Lung Tissue With Dilated Fully Convolutional Networks
Marios Anthimopoulos et al.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2019)
Artificial intelligence outperforms pulmonologists in the interpretation of pulmonary function tests
Marko Topalovic et al.
EUROPEAN RESPIRATORY JOURNAL (2019)
Computer-Aided Diagnosis of Pulmonary Fibrosis Using Deep Learning and CT Images
Andreas Christe et al.
INVESTIGATIVE RADIOLOGY (2019)
Respiratory Sound Based Classification of Chronic Obstructive Pulmonary Disease: a Risk Stratification Approach in Machine Learning Paradigm
Nishi Shahnaj Haider et al.
JOURNAL OF MEDICAL SYSTEMS (2019)
SleepEEGNet: Automated sleep stage scoring with sequence to sequence deep learning approach
Sajad Mousavi et al.
PLOS ONE (2019)
A CAD system for pulmonary nodule prediction based on deep three-dimensional convolutional neural networks and ensemble learning
Wenkai Huang et al.
PLOS ONE (2019)
Lung Segmentation on HRCT and Volumetric CT for Diffuse Interstitial Lung Disease Using Deep Convolutional Neural Networks
Beomhee Park et al.
JOURNAL OF DIGITAL IMAGING (2019)
Artificial neural network analysis of the oxygen saturation signal enables accurate diagnostics of sleep apnea
Sami Nikkonen et al.
SCIENTIFIC REPORTS (2019)
Cancer statistics, 2019
Rebecca L. Siegel et al.
CA-A CANCER JOURNAL FOR CLINICIANS (2019)
Development and Validation of a Deep Learning-Based Automated Detection Algorithm for Major Thoracic Diseases on Chest Radiographs
Eui Jin Hwang et al.
JAMA NETWORK OPEN (2019)
Replicating human expertise of mechanical ventilation waveform analysis in detecting patient-ventilator cycling asynchrony using machine learning
Behnood Gholami et al.
COMPUTERS IN BIOLOGY AND MEDICINE (2018)
An Interpretable Machine Learning Model for Accurate Prediction of Sepsis in the ICU
Shamim Nemati et al.
CRITICAL CARE MEDICINE (2018)
Using artificial intelligence to predict prolonged mechanical ventilation and tracheostomy placement
Joshua Parreco et al.
JOURNAL OF SURGICAL RESEARCH (2018)
Chronic obstructive lung disease expert system: validation of a predictive tool for assisting diagnosis
Fulvio Braido et al.
INTERNATIONAL JOURNAL OF CHRONIC OBSTRUCTIVE PULMONARY DISEASE (2018)
Diagnostic criteria for idiopathic pulmonary fibrosis: a Fleischner Society White Paper
David A. Lynch et al.
LANCET RESPIRATORY MEDICINE (2018)
Diagnosis of Idiopathic Pulmonary Fibrosis An Official ATS/ERS/JRS/ALAT Clinical Practice Guideline
Ganesh Raghu et al.
AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE (2018)
Influence of lung nodule margin on volume- and diameter-based reader variability in CT lung cancer screening
Daiwei Han et al.
BRITISH JOURNAL OF RADIOLOGY (2018)
Deep learning for classifying fibrotic lung disease on high-resolution computed tomography: a case-cohort study
Simon L. F. Walsh et al.
LANCET RESPIRATORY MEDICINE (2018)
Treatment of idiopathic pulmonary fibrosis: a network meta-analysis
Bram Rochwerg et al.
BMC MEDICINE (2016)
Pulmonary Nodule Detection in CT Images: False Positive Reduction Using Multi-View Convolutional Networks
Arnaud Arindra Adiyoso Setio et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2016)
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
Hoo-Chang Shin et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2016)
Diagnostic accuracy of minimally invasive markers for detection of airway eosinophilia in asthma: a systematic review and meta-analysis
Daniel A. Korevaar et al.
LANCET RESPIRATORY MEDICINE (2015)
Automated quantification of radiological patterns predicts survival in idiopathic pulmonary fibrosis
Fabien Maldonado et al.
EUROPEAN RESPIRATORY JOURNAL (2014)
New treatment and markers of prognosis for idiopathic pulmonary fibrosis: lessons learned from translational research
Eva Baroke et al.
EXPERT REVIEW OF RESPIRATORY MEDICINE (2013)