Study shows a combination of human and artificial intelligence optimizes the prediction of mental health problems, including psychosis.
A new machine learning study has revealed a novel combination of factors that can increase a person's risk of developing dementia.
Combining artificial intelligence technology and blood samples, researchers were able to predict and explain the progression of Alzheimer's and Huntington's disease. The new algorithm was able to detect alterations in gene expression over decades from patients' blood samples.
A deep learning model uses white matter connectomes generated from MRI images taken at birth to accurately predict an infant's cognitive development at age two.
Researchers have developed a new app that uses artificial intelligence technology to determine whether a person has COVID-19 based on the sound of their cough. The app has a 70% accuracy rate.
Researchers have developed a new machine learning algorithm that can identify clusters of learning difficulties which did not match the previous diagnosis children had been given.
A new artificial intelligence algorithm analyzes personal risk factors to accurately predict stroke recurrence in patients.
An auditory-based machine learning algorithm was able to identify children diagnosed with depression and anxiety with 80% accuracy after analyzing recordings of their speech. The algorithm identified eight audio features that signify a higher risk of depression. Of these, a lower pitch of voice, repeatable speech inflections and a higher pitch response to surprise stimuli, were more indicative of depression. Researchers hope to develop a smartphone app that records and analyzes speech immediately, helping to better detect children at risk of internalizing disorders.
A new article looks at the developing role artificial intelligence is playing in crime prevention and questions whether we need human intervention for checks and balances.
Machine learning algorithm produced fewer decision-making errors than professionals when it came to clinical diagnosis of patients.
A new machine-learning algorithm is more accurate at determining personality traits based on selfie photographs than humans are.
A new AI algorithm can predict the onset of Alzheimer's disease with an accuracy of over 99% by analyzing fMRI brain scans.
