Explore more about: Image Processing, Visual Perception and Display

September 8, 2021
News
A team of NIH microscopists and computer scientists used a type of artificial intelligence called a neural network to obtain clearer pictures of cells at work even with extremely low, cell-friendly light levels.
September 8, 2021
News
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.
October 21, 2020
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Engineers have demonstrated how a deep learning algorithm can be applied to a conventional computerized tomography (CT) scan in order to produce images that would typically require a higher level of imaging technology known as dual-energy CT.
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 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.
June 25, 2020
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A new $2.3 million grant from the NIBIB at NIH will support a research effort led by Rensselaer Polytechnic Institute to make a virtual surgery scenario – and others like it – a reality.

Read more at Mirage News.

August 6, 2021
News
NIBIB-funded researchers at Stanford University have created an artificial neural network that analyzes lung CT scans to provide information about lung cancer severity that can guide treatment options.
December 3, 2020
News
Tuberculosis meningitis causes life-threatening inflammation of the membranes in the brain and spinal cord.
December 3, 2020
News
In a neuroimaging study partially funded by NIBIB, scientists discovered patterns in the brains of people with ADHD, that reveal delayed brain growth in children with the disorder. Read more at The Washington Post
October 3, 2019
News
NIBIB-funded researchers at the University of Washington have pioneered an approach to image functional activity in the brains of individual fetuses, allowing a better look at how functional networks within the brain develop.