Researchers have developed a way for deep learning neural networks to rapidly estimate confidence levels in their output.
A computer vision technology has been put into a free mobile phone app for regular monitoring of glucose levels in people with diabetes.
An artificial intelligence-based detects early stages of Alzheimer’s through functional magnetic resonance imaging.
Researchers have created artificial intelligence algorithm that can automatically identify patients at high risk of intentional self-harm, based on the information in the clinical notes in the electronic health record.
AI experts report that they have successfully addressed a major obstacle to increasing AI capabilities.
Researchers have developed an algorithm that not only predicts hospital readmissions of heart failure patients, but also tells you why these occur.
Research shows how so-called “critical states” can be used to optimize artificial neural networks running on brain-inspired neuromorphic hardware.
A deep learning powered single-strained electronic skin sensor can capture human motion from a distance.
Researchers have developed an AI algorithm that can detect and identify different types of brain injuries.
An AI algorithm is capable of diagnosing 134 skin disorders and supporting specialists by augmenting the accuracy of diagnoses and predicting treatment options.