AIforCOVID: Predicting the clinical outcomes in patients with COVID-19 applying AI to chest-X-rays. An Italian multicentre study

Outbreak of pneumonia of unknown etiology in Wuhan, China: The mystery and the miracle

(2020) Hongzhou Lu et al.   JOURNAL OF MEDICAL VIROLOGY

Correlation of Chest CT and RT-PCR Testing in Coronavirus Disease 2019 (COVID-19) in China: A Report of 1014 Cases

(2020) Tao Ai et al.   RADIOLOGY

Clinical course and outcomes of critically ill patients with SARS-CoV-2 pneumonia in Wuhan, China: a single-centered, retrospective, observational study

(2020) Xiaobo Yang et al.   Lancet Respiratory Medicine

Clinically Applicable AI System for Accurate Diagnosis, Quantitative Measurements, and Prognosis of COVID-19 Pneumonia Using Computed Tomography

(2020) Kang Zhang et al.   CELL

The Role of Chest Imaging in Patient Management During the COVID-19 Pandemic

(2020) Geoffrey D. Rubin et al.   CHEST

Hematologic, biochemical and immune biomarker abnormalities associated with severe illness and mortality in coronavirus disease 2019 (COVID-19): a meta-analysis

(2020) Brandon Michael Henry et al.   CLINICAL CHEMISTRY AND LABORATORY MEDICINE

Radiographic findings in 240 patients with COVID-19 pneumonia: time-dependence after the onset of symptoms

(2020) Sergio Giuseppe Vancheri et al.   EUROPEAN RADIOLOGY

Prevalence of comorbidities and its effects in patients infected with SARS-CoV-2: a systematic review and meta-analysis

(2020) Jing Yang et al.   INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES

Diagnostic Performance of Chest X-Ray for COVID-19 Pneumonia During the SARS-CoV-2 Pandemic in Lombardy, Italy

(2020) Simone Schiaffino et al.   JOURNAL OF THORACIC IMAGING

D‐dimer levels on admission to predict in‐hospital mortality in patients with Covid‐19

(2020) Litao Zhang et al.   JOURNAL OF THROMBOSIS AND HAEMOSTASIS

Novel Coronavirus Infection (COVID-19) in Humans: A Scoping Review and Meta-Analysis

(2020) Israel Júnior Borges do Nascimento et al.   Journal of Clinical Medicine

Feasibility, Reproducibility, and Clinical Validity of a Quantitative Chest X-Ray Assessment for COVID-19

(2020) Marcello A. Orsi et al.   AMERICAN JOURNAL OF TROPICAL MEDICINE AND HYGIENE

Frequency and Distribution of Chest Radiographic Findings in Patients Positive for COVID-19

(2020) Ho Yuen Frank Wong et al.   RADIOLOGY

Machine learning-based CT radiomics method for predicting hospital stay in patients with pneumonia associated with SARS-CoV-2 infection: a multicenter study

(2020) Hongmei Yue et al.   Annals of Translational Medicine

Elevated Lactate Dehydrogenase (LDH) level as an independent risk factor for the severity and mortality of COVID-19

(2020) Chang Li et al.   Aging-US

AI-Driven quantification, staging and outcome prediction of COVID-19 pneumonia

(2020) Guillaume Chassagnon et al.   MEDICAL IMAGE ANALYSIS

Deep-COVID: Predicting COVID-19 from chest X-ray images using deep transfer learning

(2020) Shervin Minaee et al.   MEDICAL IMAGE ANALYSIS

Sex differences in severity and mortality from COVID-19: are males more vulnerable?

(2020) Ajay Pradhan et al.   Biology of Sex Differences

Bringing radiology to patient's home using mobile equipment: A weapon to fight COVID-19 pandemic

(2020) Moreno Zanardo et al.   CLINICAL IMAGING

Position paper on COVID-19 imaging and AI: From the clinical needs and technological challenges to initial AI solutions at the lab and national level towards a new era for AI in healthcare

(2020) Hayit Greenspan et al.   MEDICAL IMAGE ANALYSIS

Admission D-dimer levels, D-dimer trends, and outcomes in COVID-19

(2020) Leonard Naymagon et al.   THROMBOSIS RESEARCH

PROBAST: A Tool to Assess Risk of Bias and Applicability of Prediction Model Studies: Explanation and Elaboration

(2019) Karel G.M. Moons et al.   ANNALS OF INTERNAL MEDICINE

Deep Learning Techniques for Medical Image Segmentation: Achievements and Challenges

(2019) Mohammad Hesam Hesamian et al.   JOURNAL OF DIGITAL IMAGING

Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning

(2018) Daniel S. Kermany et al.   CELL

Mutual Information between Discrete and Continuous Data Sets

(2014) Brian C. Ross   PLoS One

Parameter tuning or default values? An empirical investigation in search-based software engineering

(2013) Andrea Arcuri et al.   EMPIRICAL SOFTWARE ENGINEERING