AIMC Topic: Betacoronavirus
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An artificial intelligence approach to COVID-19 infection risk assessment in virtual visits: A case report.
Journal of the American Medical Informatics Association : JAMIA
Aug 1, 2020
OBJECTIVE: In an effort to improve the efficiency of computer algorithms applied to screening for coronavirus disease 2019 (COVID-19) testing, we used natural language processing and artificial intelligence-based methods with unstructured patient dat...
SARS-CoV-2
Risk Assessment
Deep Learning
ROC Curve
Pandemics
COVID-19
Algorithms
Electronic Health Records
Organizational Case Studies
Clinical Laboratory Techniques
South Carolina
Betacoronavirus
Pneumonia, Viral
Humans
Neural Networks, Computer
Natural Language Processing
Artificial Intelligence
Coronavirus Infections
Telemedicine
COVID-19 Testing
Role of 5G-powered remote robotic ultrasound during the COVID-19 outbreak: insights from two cases.
European review for medical and pharmacological sciences
Jul 1, 2020
The 2019 Novel Coronavirus disease (COVID-19) broke out in Wuhan, China in December 2019 and spread throughout the world. Early screening and early diagnosis play key roles in prevention and management of the epidemic. Attention should also be paid t...
Using Machine Learning to Estimate Unobserved COVID-19 Infections in North America.
The Journal of bone and joint surgery. American volume
Jul 1, 2020
BACKGROUND: The detection of coronavirus disease 2019 (COVID-19) cases remains a huge challenge. As of April 22, 2020, the COVID-19 pandemic continues to take its toll, with >2.6 million confirmed infections and >183,000 deaths. Dire projections are ...
Unsupervised Machine Learning for the Discovery of Latent Clusters in COVID-19 Patients Using Electronic Health Records.
Studies in health technology and informatics
Jun 26, 2020
The goal of this paper was to apply unsupervised machine learning techniques towards the discovery of latent clusters in COVID-19 patients. Over 6,000 adult patients tested positive for the SARS-CoV-2 infection at the Mount Sinai Health System in New...
[Machine learning-based method for interpreting the guidelines of the diagnosis and treatment of COVID-19].
Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi
Jun 25, 2020
The outbreak of pneumonia caused by novel coronavirus (COVID-19) at the end of 2019 was a major public health emergency in human history. In a short period of time, Chinese medical workers have experienced the gradual understanding, evidence accumula...
Artificial Intelligence: Promise, Pitfalls, and Perspective.
JAMA
Jun 23, 2020
Natural Language Processing
Radiology
Coronavirus Infections
Data Collection
Comprehension
Betacoronavirus
Pneumonia, Viral
Automobile Driving
Image Interpretation, Computer-Assisted
SARS-CoV-2
Deep Learning
Automobiles
Randomized Controlled Trials as Topic
COVID-19
Forecasting
Delivery of Health Care
Electronic Health Records
Artificial Intelligence
Pandemics
Repurposing factories with robotics in the face of COVID-19.
Science robotics
Jun 17, 2020
Can collaborative robots ramp up the production of medical ventilators?
AI Surveillance during Pandemics: Ethical Implementation Imperatives.
The Hastings Center report
May 1, 2020
Artificial intelligence surveillance can be used to diagnose individual cases, track the spread of Covid-19, and help provide care. The use of AI for surveillance purposes (such as detecting new Covid-19 cases and gathering data from healthy and ill ...
Management of ovarian cancer patients in affected areas during COVID-19 pandemic: Japan and Korea.
Journal of gynecologic oncology
May 1, 2020
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