Machine learning algorithms find patterns in human movement data collected by continuous monitoring, yielding insights that ...

Few primary care practices are designed for the timely detection of Alzheimer's disease and related dementias. The limited ...

An artificial intelligence-based deep learning algorithm significantly improves the sensitivity of emergency clinicians in ...

Active learning represents a transformative paradigm in machine learning, aimed at reducing the annotation burden by selectively querying the most informative data points. This approach leverages ...

In addition to hurricanes, AI is being trained to predict and manage such natural disasters as earthquakes, floods and forest ...

Discover the role of optimizers in deep learning! Learn how algorithms like SGD, Adam, and RMSprop help neural networks train ...

The kidney is one of the body's most vital organs, responsible for filtering waste, balancing electrolytes and maintaining overall health. Any impairment to its function can lead to serious and often ...

Researchers say the study indicates the ability to bring the power of AI and patient-reported outcomes directly into the clinic seamlessly, affordably, and at scale.

GenAI is super advanced – but it doesn’t replace predictive AI, it only augments it. The two will remain intrinsically ...

Southwest Research Institute (SwRI) has developed a method to automate the calibration of heavy-duty diesel truck emissions ...