AIMC Topic:
SARS-CoV-2
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Application of deep learning technique to manage COVID-19 in routine clinical practice using CT images: Results of 10 convolutional neural networks.
Computers in biology and medicine
Apr 30, 2020
Fast diagnostic methods can control and prevent the spread of pandemic diseases like coronavirus disease 2019 (COVID-19) and assist physicians to better manage patients in high workload conditions. Although a laboratory test is the current routine di...
Deep Learning
Computational Biology
COVID-19
Aged, 80 and over
Humans
Adult
Pneumonia
Tomography, X-Ray Computed
Betacoronavirus
Male
Neural Networks, Computer
Radiographic Image Interpretation, Computer-Assisted
Female
Pneumonia, Viral
Middle Aged
Coronavirus Infections
SARS-CoV-2
Artificial Intelligence
Lung
Aged
Pandemics
Use of CT and artificial intelligence in suspected or COVID-19 positive patients: statement of the Italian Society of Medical and Interventional Radiology.
La Radiologia medica
Apr 29, 2020
The COVID-19 pandemic started in Italy in February 2020 with an exponential growth that has exceeded the number of cases reported in China. Italian radiology departments found themselves at the forefront in the management of suspected and positive CO...
Automated detection of COVID-19 cases using deep neural networks with X-ray images.
Computers in biology and medicine
Apr 28, 2020
The novel coronavirus 2019 (COVID-2019), which first appeared in Wuhan city of China in December 2019, spread rapidly around the world and became a pandemic. It has caused a devastating effect on both daily lives, public health, and the global econom...
Cautions about radiologic diagnosis of COVID-19 infection driven by artificial intelligence.
The Lancet. Digital health
Apr 28, 2020
Artificial Intelligence Augmentation of Radiologist Performance in Distinguishing COVID-19 from Pneumonia of Other Origin at Chest CT.
Radiology
Apr 27, 2020
Background Coronavirus disease 2019 (COVID-19) and pneumonia of other diseases share similar CT characteristics, which contributes to the challenges in differentiating them with high accuracy. Purpose To establish and evaluate an artificial intellige...
Philadelphia
Rhode Island
Betacoronavirus
Pneumonia, Viral
Diagnosis, Differential
Pneumonia
Radiologists
Coronavirus Infections
Radiography, Thoracic
Adult
Sensitivity and Specificity
Male
Middle Aged
Infant
Lung
China
Adolescent
Child, Preschool
Child
Infant, Newborn
SARS-CoV-2
Aged
Aged, 80 and over
Young Adult
Humans
Pandemics
Artificial Intelligence
COVID-19
Retrospective Studies
Tomography, X-Ray Computed
Female
Classification of COVID-19 patients from chest CT images using multi-objective differential evolution-based convolutional neural networks.
European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology
Apr 27, 2020
Early classification of 2019 novel coronavirus disease (COVID-19) is essential for disease cure and control. Compared with reverse-transcription polymerase chain reaction (RT-PCR), chest computed tomography (CT) imaging may be a significantly more tr...
Humans
Sensitivity and Specificity
Lung
Deep Learning
Reverse Transcriptase Polymerase Chain Reaction
Coronavirus Infections
Neural Networks, Computer
Pandemics
COVID-19
Tomography, X-Ray Computed
SARS-CoV-2
Betacoronavirus
COVID-19 Testing
Pneumonia, Viral
Image Interpretation, Computer-Assisted
False Negative Reactions
False Positive Reactions
Clinical Laboratory Techniques
Machine learning using intrinsic genomic signatures for rapid classification of novel pathogens: COVID-19 case study.
PloS one
Apr 24, 2020
The 2019 novel coronavirus (renamed SARS-CoV-2, and generally referred to as the COVID-19 virus) has spread to 184 countries with over 1.5 million confirmed cases. Such major viral outbreaks demand early elucidation of taxonomic classification and or...
Less is More: Intelligent Intensive Care for SARS-CoV-2 Based on the Imaging Data.
Journal of medical imaging and radiation sciences
Apr 18, 2020
Predicting COVID-19 Incidence Through Analysis of Google Trends Data in Iran: Data Mining and Deep Learning Pilot Study.
JMIR public health and surveillance
Apr 14, 2020
BACKGROUND: The recent global outbreak of coronavirus disease (COVID-19) is affecting many countries worldwide. Iran is one of the top 10 most affected countries. Search engines provide useful data from populations, and these data might be useful to ...
Artificial Intelligence (AI) applications for COVID-19 pandemic.
Diabetes & metabolic syndrome
Apr 14, 2020
BACKGROUND AND AIMS: Healthcare delivery requires the support of new technologies like Artificial Intelligence (AI), Internet of Things (IoT), Big Data and Machine Learning to fight and look ahead against the new diseases. We aim to review the role o...
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