Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans
Abstract Machine learning methods offer great promise for fast and accurate detection and
prognostication of coronavirus disease 2019 (COVID-19) from standard-of-care chest …
prognostication of coronavirus disease 2019 (COVID-19) from standard-of-care chest …
Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal
Objective To review and appraise the validity and usefulness of published and preprint
reports of prediction models for prognosis of patients with covid-19, and for detecting people …
reports of prediction models for prognosis of patients with covid-19, and for detecting people …
Automated detection and forecasting of covid-19 using deep learning techniques: A review
Abstract In March 2020, the World Health Organization (WHO) declared COVID-19 a global
epidemic, caused by the SARS-CoV-2 virus. Initially, COVID-19 was diagnosed using real …
epidemic, caused by the SARS-CoV-2 virus. Initially, COVID-19 was diagnosed using real …
Thoracic imaging tests for the diagnosis of COVID‐19
Background The respiratory illness caused by SARS‐CoV‐2 infection continues to present
diagnostic challenges. Our 2020 edition of this review showed thoracic (chest) imaging to be …
diagnostic challenges. Our 2020 edition of this review showed thoracic (chest) imaging to be …
Applications of artificial intelligence in battling against covid-19: A literature review
M Tayarani - Chaos, Solitons and Fractals, 2020 - researchprofiles.herts.ac.uk
Colloquially known as coronavirus, the Severe Acute Respiratory Syndrome CoronaVirus 2
(SARS-CoV-2), that causes CoronaVirus Disease 2019 (COVID-19), has become a matter of …
(SARS-CoV-2), that causes CoronaVirus Disease 2019 (COVID-19), has become a matter of …
[PDF][PDF] Biomarkers: Promising and valuable tools towards diagnosis, prognosis and treatment of Covid-19 and other diseases
A Bodaghi, N Fattahi, A Ramazani - Heliyon, 2023 - cell.com
The use of biomarkers as early warning systems in the evaluation of disease risk has
increased markedly in the last decade. Biomarkers are indicators of typical biological …
increased markedly in the last decade. Biomarkers are indicators of typical biological …
[HTML][HTML] Role of machine learning techniques to tackle the COVID-19 crisis: systematic review
Background: SARS-CoV-2, the novel coronavirus responsible for COVID-19, has caused
havoc worldwide, with patients presenting a spectrum of complications that have pushed …
havoc worldwide, with patients presenting a spectrum of complications that have pushed …
A survey on artificial intelligence approaches in supporting frontline workers and decision makers for the COVID-19 pandemic
While the world has experience with many different types of infectious diseases, the current
crisis related to the spread of COVID-19 has challenged epidemiologists and public health …
crisis related to the spread of COVID-19 has challenged epidemiologists and public health …
[HTML][HTML] Application of machine learning in diagnosis of COVID-19 through X-ray and CT images: a scoping review
H Mohammad-Rahimi, M Nadimi… - Frontiers in …, 2021 - frontiersin.org
Coronavirus disease, first detected in late 2019 (COVID-19), has spread fast throughout the
world, leading to high mortality. This condition can be diagnosed using RT-PCR technique …
world, leading to high mortality. This condition can be diagnosed using RT-PCR technique …
[HTML][HTML] Thoracic imaging tests for the diagnosis of COVID‐19
Background Our March 2021 edition of this review showed thoracic imaging computed
tomography (CT) to be sensitive and moderately specific in diagnosing COVID‐19 …
tomography (CT) to be sensitive and moderately specific in diagnosing COVID‐19 …