OpenAI's ChatGPT program can identify clues from spontaneous speech that are 80% accurate in predicting the early stages of dementia.
Using machine learning technology, researchers provide new insight into the neural mechanisms that govern anger and aggression.
New AI technology can instantly determine whether a person is above the legal alcohol limit by analyzing a 12-second clip of their voice.
Deep learning technology can accurately reflect a person's risk of cognitive decline and Alzheimer's disease based on brain age.
Machine learning algorithms can effectively recognize patterns in a patient's neuroimaging data that are specific to rare forms of dementia, allowing for early diagnosis and monitoring of disease progression.
A newly developed, open-source app that utilizes AI technology allows researchers to precisely map the structure of the hippocampus.
A new software framework incorporates dendritic properties and mechanisms into large-scale neural network models.
Artificial neural networks based on human brain dynamics can outperform current deep learning models in learning capabilities.
Researchers explain how deep neural networks are able to learn complex physics.
Tracking hippocampal neurons in mice as they watched a movie revealed novel ways to improve artificial intelligence and track neurological disorders associated with memory and learning deficits.
Researchers are turning to artificial intelligence to find novel drugs that can block kappa opioid receptors with the hope to alleviate opioid addiction.
While there is clear potential to use ChatGPT in a clinical setting, researchers say the AI algorithm may not yet be a reliable way of replacing the family doctor, especially when it comes to making effective decisions about prescribing antibiotics for infections.
