Prognostic models in COVID-19 infection that predict severity: a systematic review
Current evidence on COVID-19 prognostic models is inconsistent and clinical applicability
remains controversial. We performed a systematic review to summarize and critically …
remains controversial. We performed a systematic review to summarize and critically …
[HTML][HTML] Integrating pathomics with radiomics and genomics for cancer prognosis: A brief review
In the last decade, the focus of computational pathology research community has shifted
from replicating the pathological examination for diagnosis done by pathologists to …
from replicating the pathological examination for diagnosis done by pathologists to …
Prediction of prognosis in COVID-19 patients using machine learning: A systematic review and meta-analysis
R Chen, J Chen, S Yang, S Luo, Z Xiao, L Lu… - International Journal of …, 2023 - Elsevier
Background Accurate prediction of prognostic outcomes in patients with COVID-19 could
facilitate clinical decision-making and medical resource allocation. However, little is known …
facilitate clinical decision-making and medical resource allocation. However, little is known …
Exploring the clinical benefit of ventilation therapy across various patient groups with COVID-19 using real-world data
Scarcity of ventilators during COVID-19 pandemic has urged public health authorities to
develop prioritization recommendations and guidelines with the real-time decision-making …
develop prioritization recommendations and guidelines with the real-time decision-making …
Artificial intelligence-based model for COVID-19 prognosis incorporating chest radiographs and clinical data; a retrospective model development and validation study
SL Walston, T Matsumoto, Y Miki… - The British Journal of …, 2022 - academic.oup.com
Objectives: The purpose of this study was to develop an artificial intelligence-based model to
prognosticate COVID-19 patients at admission by combining clinical data and chest …
prognosticate COVID-19 patients at admission by combining clinical data and chest …
Deep-learning-based hepatic fat assessment (DeHFt) on non-contrast chest CT and its association with disease severity in COVID-19 infections: A multi-site …
Background Hepatic steatosis (HS) identified on CT may provide an integrated
cardiometabolic and COVID-19 risk assessment. This study presents a deep-learning-based …
cardiometabolic and COVID-19 risk assessment. This study presents a deep-learning-based …
Deep Learning reveals lung shape differences on baseline chest CT between mild and severe COVID-19: A multi-site retrospective study
Severe COVID-19 can lead to extensive lung disease causing lung architectural distortion.
In this study we employed machine learning and statistical atlas-based approaches to …
In this study we employed machine learning and statistical atlas-based approaches to …
COVID-19 disease prediction using weighted ensemble transfer learning
Health experts use advanced technological equipment to find complex diseases and
diagnose them. Medical imaging nowadays is popular for detecting abnormalities in human …
diagnose them. Medical imaging nowadays is popular for detecting abnormalities in human …
Optimization of Ventilation Therapy Prioritization Strategies among Patients with COVID-19: Lessons Learned from Real-World Data of nearly 600,000 Hospitalized …
M Abbasi-Kangevari, A Ghanbari, MR Malekpour… - medRxiv, 2022 - medrxiv.org
Objective To investigate the benefit of ventilation therapy among various patient groups with
COVID-19 admitted to hospitals, based on the real-world data of hospitalized adult patients …
COVID-19 admitted to hospitals, based on the real-world data of hospitalized adult patients …
A Conceptual Review on Artificial Intelligence in Biomedical Applications
I Muazu, F Al-Turjman, İ Etikan - 2022 International Conference …, 2022 - ieeexplore.ieee.org
A wide range of human efforts are being impacted by AI in our daily lives. Numerous
organizations, including the health sector, are also taking steps to adapt to AI technology …
organizations, including the health sector, are also taking steps to adapt to AI technology …