AIMC Topic:
SARS-CoV-2
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[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
Pneumonia, Viral
SARS-CoV-2
COVID-19
Automobile Driving
Forecasting
Image Interpretation, Computer-Assisted
Deep Learning
Artificial Intelligence
Delivery of Health Care
Automobiles
Natural Language Processing
Comprehension
Electronic Health Records
Pandemics
Betacoronavirus
Randomized Controlled Trials as Topic
Radiology
Coronavirus Infections
Data Collection
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
Deep Learning Localization of Pneumonia: 2019 Coronavirus (COVID-19) Outbreak.
Journal of thoracic imaging
May 1, 2020
Machine Learning, COVID-19 (2019-nCoV), and multi-OMICS.
Cytometry. Part A : the journal of the International Society for Analytical Cytology
Mar 1, 2020
Using a simple open-source automated machine learning algorithm to forecast COVID-19 spread: A modelling study.
Advances in respiratory medicine
Jan 1, 2020
INTRODUCTION: Machine learning algorithms have been used to develop prediction models in various infectious and non-infectious settings including interpretation of images in predicting the outcome of diseases. We demonstrate the application of one su...
Exploring the Potential of Artificial Intelligence and Machine Learning to Combat COVID-19 and Existing Opportunities for LMIC: A Scoping Review.
Journal of primary care & community health
Jan 1, 2020
BACKGROUND: In the face of the current time-sensitive COVID-19 pandemic, the limited capacity of healthcare systems resulted in an emerging need to develop newer methods to control the spread of the pandemic. Artificial Intelligence (AI), and Machine...
AI-Driven COVID-19 Tools to Interpret, Quantify Lung Images.
IEEE pulse
Jan 1, 2020
Qualitative interpretation is a good thing when it comes to reading lung images in the fight against coronavirus 2019 disease (COVID-19), but quantitative analysis makes radiology reporting much more comprehensive. To that end, several research group...
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