Cargando…

Clinical and imaging features predict mortality in COVID-19 infection in Iran

The new coronavirus disease 2019 (COVID-19) pandemic has challenged many healthcare systems around the world. While most of the current understanding of the clinical features of COVID-19 is derived from Chinese studies, there is a relative paucity of reports from the remaining global health communit...

Descripción completa

Detalles Bibliográficos
Autores principales:	Homayounieh, Fatemeh, Zhang, Eric W., Babaei, Rosa, Karimi Mobin, Hadi, Sharifian, Maedeh, Mohseni, Iman, Kuo, Anderson, Arru, Chiara, Kalra, Mannudeep K., Digumarthy, Subba R.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Public Library of Science 2020
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514030/ https://www.ncbi.nlm.nih.gov/pubmed/32970733 http://dx.doi.org/10.1371/journal.pone.0239519

Ejemplares similares

CT Radiomics, Radiologists, and Clinical Information in Predicting Outcome of Patients with COVID-19 Pneumonia
por: Homayounieh, Fatemeh, et al.
Publicado: (2020)

Integrative analysis for COVID-19 patient outcome prediction
por: Chao, Hanqing, et al.
Publicado: (2021)

Multicenter Assessment of CT Pneumonia Analysis Prototype for Predicting Disease Severity and Patient Outcome
por: Homayounieh, Fatemeh, et al.
Publicado: (2021)

Association of AI quantified COVID-19 chest CT and patient outcome
por: Fang, Xi, et al.
Publicado: (2021)

Chest CT practice and protocols for COVID-19 from radiation dose management perspective
por: Kalra, Mannudeep K., et al.
Publicado: (2020)

Investigating centering, scan length, and arm position impact on radiation dose across 4 countries from 4 continents during pandemic: Mitigating key radioprotection issues
por: Ebrahimian, Shadi, et al.
Publicado: (2021)

Use of radiomics to differentiate left atrial appendage thrombi and mixing artifacts on single-phase CT angiography
por: Ebrahimian, Shadi, et al.
Publicado: (2021)

A multi-center study of COVID-19 patient prognosis using deep learning-based CT image analysis and electronic health records
por: Gong, Kuang, et al.
Publicado: (2021)

Multifactorial Analysis of Mortality in Screening Detected Lung Cancer
por: Digumarthy, Subba R., et al.
Publicado: (2018)

Deploying Clinical Process Improvement Strategies to Reduce Motion Artifacts and Expiratory Phase Scanning in Chest CT
por: Doda Khera, Ruhani, et al.
Publicado: (2019)

Deep learning in chest radiography: Detection of findings and presence of change
por: Singh, Ramandeep, et al.
Publicado: (2018)

Validation of a Deep Learning Algorithm for the Detection of Malignant Pulmonary Nodules in Chest Radiographs
por: Yoo, Hyunsuk, et al.
Publicado: (2020)

Radiomic features of primary tumor by lung cancer stage: analysis in BRAF mutated non-small cell lung cancer
por: Padole, Atul, et al.
Publicado: (2020)

Complications in COVID-19 patients: Characteristics of pulmonary embolism
por: Cau, Riccardo, et al.
Publicado: (2021)

Artificial intelligence matches subjective severity assessment of pneumonia for prediction of patient outcome and need for mechanical ventilation: a cohort study
por: Ebrahimian, Shadi, et al.
Publicado: (2021)

Is Weight-Based Adjustment of Automatic Exposure Control Necessary for the Reduction of Chest CT Radiation Dose?
por: Prakash, Priyanka, et al.
Publicado: (2010)

Can CT radiomic analysis in NSCLC predict histology and EGFR mutation status?
por: Digumarthy, Subba R., et al.
Publicado: (2019)

Radiation dose reduction in chest dual-energy computed tomography: effect on image quality and diagnostic information
por: Canellas, Rodrigo, et al.
Publicado: (2018)

CT texture analysis of histologically proven benign and malignant lung lesions
por: Digumarthy, Subba R., et al.
Publicado: (2018)

Process improvement for reducing side discrepancies in radiology reports
por: Digumarthy, Subba Rao, et al.
Publicado: (2018)

CovidCTNet: an open-source deep learning approach to diagnose covid-19 using small cohort of CT images
por: Javaheri, Tahereh, et al.
Publicado: (2021)

Predicting malignant potential of subsolid nodules: can radiomics preempt longitudinal follow up CT?
por: Digumarthy, Subba R., et al.
Publicado: (2019)

Radiologist-Trained and -Tested (R2.2.4) Deep Learning Models for Identifying Anatomical Landmarks in Chest CT
por: Kaviani, Parisa, et al.
Publicado: (2022)

Prediction of burden and management of renal calculi from whole kidney radiomics: a multicenter study
por: Homayounieh, Fatemeh, et al.
Publicado: (2020)

Performance of a Chest Radiography AI Algorithm for Detection of Missed or Mislabeled Findings: A Multicenter Study
por: Kaviani, Parisa, et al.
Publicado: (2022)

Validation pipeline for machine learning algorithm assessment for multiple vendors
por: Bizzo, Bernardo C., et al.
Publicado: (2022)

Auto-Detection of Motion Artifacts on CT Pulmonary Angiograms with a Physician-Trained AI Algorithm
por: Dasegowda, Giridhar, et al.
Publicado: (2023)

Deep learning predicts cardiovascular disease risks from lung cancer screening low dose computed tomography
por: Chao, Hanqing, et al.
Publicado: (2021)

An Artificial Intelligence–Based Chest X-ray Model on Human Nodule Detection Accuracy From a Multicenter Study
por: Homayounieh, Fatemeh, et al.
Publicado: (2021)

Variations in CT Utilization, Protocols, and Radiation Doses in COVID-19 Pneumonia: Results from 28 Countries in the IAEA Study
por: Homayounieh, Fatemeh, et al.
Publicado: (2020)

Clinicopathologic and Imaging Features of Non-Small-Cell Lung Cancer with MET Exon 14 Skipping Mutations
por: Digumarthy, Subba R., et al.
Publicado: (2019)

Outpatient Waiting Time in Health Services and Teaching Hospitals: A Case Study in Iran
por: Mohebbifar, Rafat, et al.
Publicado: (2014)

Frequency of Missed Findings on Chest Radiographs (CXRs) in an International, Multicenter Study: Application of AI to Reduce Missed Findings
por: Kaviani, Parisa, et al.
Publicado: (2022)

CT findings of COVID-19 pneumonia in ICU-patients
por: Cau, Riccardo, et al.
Publicado: (2021)

Affecting factors of cloud computing adoption in public hospitals affiliated with Zahedan University of Medical Sciences: A cross-sectional study in the Southeast of Iran
por: Alipour, Jahanpour, et al.
Publicado: (2021)

MRI in detection of hepatocellular carcinoma (HCC)
por: Digumarthy, Subba R, et al.
Publicado: (2005)

Suboptimal Chest Radiography and Artificial Intelligence: The Problem and the Solution
por: Dasegowda, Giridhar, et al.
Publicado: (2023)

Evaluation of an Artificial Intelligence Model for Detection of Pneumothorax and Tension Pneumothorax in Chest Radiographs
por: Hillis, James M., et al.
Publicado: (2022)

Hospital Mortality Associated with Stroke in Southern Iran
por: Borhani-Haghighi, Afshin, et al.
Publicado: (2013)

Association of Musculoskeletal and Radiological Features with Clinical and Serological Findings in Systemic Sclerosis: A Single-Centre Registry Study
por: Azarbani, Nasrin, et al.
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_uhcm1pr9opg4v7onlflaoroseg