Using AI technology to analyze CMR scans, researchers were able to precisely quantify the blood flow to the heart muscles of patients. Comparing the AI-generated blood flow results with health outcomes, the team found those with reduced blood flow were at increased risk of stroke, heart attacks, and heart failure. The machine-learning algorithm was able to predict which patients may die or suffer major adverse health events better than doctors could.
Combining machine learning with neuroimaging data, researchers identified a brain region that appears to govern contextual associations.
A new mouse study discovers different networks of brain activity in animals more susceptible to developing depression following a stressful event.
Researchers look at brain function to improve face recognition technology.
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Unexpected behavior in ferroelectric materials explored by researchers supports a new approach to information storage and processing known as memcomputing.
EyeSyn, a newly developed "virtual eye" that simulates how humans look at the world accurately enough for the development of new augmented reality programs, can help create applications for the metaverse.
A new deep learning algorithm can predict those at risk of psychosis with 93% accuracy by examining the latent semantic content of an individual's speech.
Researchers demonstrate how memristors could be used to power artificial systems to mimic the human brain.
Analyzing patient data, artificial intelligence technology was able to predict mortality risk from COVID-19 infection with 90% accuracy.
Study shows how brain networks unique to each child can predict cognition. Using a combination of neuroimaging data and machine learning, researchers reveal functional neuroanatomy can vary greatly among children and is refined during development.
Study could revolutionize understanding of how signal flow can be measured in the brain and could have an impact into the development of new artificial neural networks.
Using artificial intelligence and brain-computer interface technology, researchers reconstructed English words from neural signals recorded from the brains of non-human primates.