Explore more about: Artificial Intelligence, Machine Learning, and Deep Learning

February 24, 2021
News
The Medical Imaging and Data Resource Center (MIDRC), a collaboration of leading medical imaging organizations funded by NIBIB, has launched a repository of imaging data to facilitate medical imaging research on COVID-19.
January 19, 2021
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Compared to standard machine learning models, deep learning models are largely superior at discerning patterns and discriminative features in brain imaging, despite being more complex in their architecture.
November 24, 2020
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A team of engineers has demonstrated how a new algorithm they developed was able to successfully predict whether or not a COVID-19 patient would need ICU intervention. This artificial intelligence-based approach could be a valuable tool in determining a proper course of treatment for individual patients.
November 12, 2020
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A new study lays out a large medical analytics framework that can be used in neuroscience and neurology to study brain connectivity in living organisms.
September 28, 2020
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Artificial intelligence can speed the development of 3D-printed bioscaffolds that help injuries heal, according to researchers.
August 26, 2020
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A new article looks at the use of virtual imaging trials in effective assessment and optimization of CT and radiography acquisitions and analysis tools to help manage the coronavirus disease (COVID-19) pandemic.
August 22, 2020
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NIBIB-funded researchers at NYU Langone Health worked with Facebook AI researchers to develop a method to speed up MRI scans.
August 22, 2020
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NIBIB-funded researchers have developed a way to use artificial intelligence to speed up MRI imaging without sacrificing quality.
August 13, 2020
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Researchers demonstrated how a deep learning framework they call 'Brain-NET' can accurately predict a person's level of expertise in terms of their surgical motor skills, based solely on neuroimaging data.
August 10, 2020
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The National Institutes of Health has launched an ambitious effort to use artificial intelligence, computation, and medical imaging to enable early disease detection, inform successful treatment strategies, and predict individual disease outcomes of COVID-19.