AIMC Topic:
SARS-CoV-2
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The myth of generalisability in clinical research and machine learning in health care.
The Lancet. Digital health
Aug 24, 2020
An emphasis on overly broad notions of generalisability as it pertains to applications of machine learning in health care can overlook situations in which machine learning might provide clinical utility. We believe that this narrow focus on generalis...
Dynamics and Development of the COVID-19 Epidemic in the United States: A Compartmental Model Enhanced With Deep Learning Techniques.
Journal of medical Internet research
Aug 21, 2020
BACKGROUND: Compartmental models dominate epidemic modeling. Transmission parameters between compartments are typically estimated through stochastic parameterization processes that depends on detailed statistics of transmission characteristics, which...
Efficient and Effective Training of COVID-19 Classification Networks With Self-Supervised Dual-Track Learning to Rank.
IEEE journal of biomedical and health informatics
Aug 20, 2020
Coronavirus Disease 2019 (COVID-19) has rapidly spread worldwide since first reported. Timely diagnosis of COVID-19 is crucial both for disease control and patient care. Non-contrast thoracic computed tomography (CT) has been identified as an effecti...
Betacoronavirus
Algorithms
Pneumonia, Viral
Supervised Machine Learning
Retrospective Studies
Coronavirus Infections
Tomography, X-Ray Computed
Cohort Studies
COVID-19 Testing
Humans
SARS-CoV-2
Diagnostic Errors
Computational Biology
Clinical Laboratory Techniques
Neural Networks, Computer
Deep Learning
Radiographic Image Interpretation, Computer-Assisted
Pandemics
COVID-19
Predicting Psychological Distress Amid the COVID-19 Pandemic by Machine Learning: Discrimination and Coping Mechanisms of Korean Immigrants in the U.S.
International journal of environmental research and public health
Aug 20, 2020
The current study examined the predictive ability of discrimination-related variables, coping mechanisms, and sociodemographic factors on the psychological distress level of Korean immigrants in the U.S. amid the COVID-19 pandemic. Korean immigrants ...
Evaluation of the COVID-19 Pandemic Intervention Strategies with Hesitant F-AHP.
Journal of healthcare engineering
Aug 20, 2020
In this study, a hesitant fuzzy AHP method is presented to help decision makers (DMs), especially policymakers, governors, and physicians, evaluate the importance of intervention strategy alternatives applied by various countries for the COVID-19 pan...
Digital health innovation to integrate palliative care during the COVID-19 pandemic.
The American journal of emergency medicine
Aug 19, 2020
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.
Medical image analysis
Aug 19, 2020
In this position paper, we provide a collection of views on the role of AI in the COVID-19 pandemic, from clinical requirements to the design of AI-based systems, to the translation of the developed tools to the clinic. We highlight key factors in de...
Screening of Therapeutic Agents for COVID-19 Using Machine Learning and Ensemble Docking Studies.
The journal of physical chemistry letters
Aug 14, 2020
The current pandemic demands a search for therapeutic agents against the novel coronavirus SARS-CoV-2. Here, we present an efficient computational strategy that combines machine learning (ML)-based models and high-fidelity ensemble docking studies to...
Artificial intelligence for the detection of COVID-19 pneumonia on chest CT using multinational datasets.
Nature communications
Aug 14, 2020
Chest CT is emerging as a valuable diagnostic tool for clinical management of COVID-19 associated lung disease. Artificial intelligence (AI) has the potential to aid in rapid evaluation of CT scans for differentiation of COVID-19 findings from other ...
Deep Learning
Adolescent
Child, Preschool
Child
Adult
Male
Middle Aged
Lung
Clinical Laboratory Techniques
Betacoronavirus
Pneumonia, Viral
Imaging, Three-Dimensional
Radiographic Image Interpretation, Computer-Assisted
Coronavirus Infections
COVID-19 Testing
Pandemics
COVID-19
Algorithms
Tomography, X-Ray Computed
Humans
Aged
Artificial Intelligence
Aged, 80 and over
Young Adult
Female
SARS-CoV-2
Natural Language Processing for Rapid Response to Emergent Diseases: Case Study of Calcium Channel Blockers and Hypertension in the COVID-19 Pandemic.
Journal of medical Internet research
Aug 14, 2020
BACKGROUND: A novel disease poses special challenges for informatics solutions. Biomedical informatics relies for the most part on structured data, which require a preexisting data or knowledge model; however, novel diseases do not have preexisting k...
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