Deep learning works by using multilayered neural networks. To make sense of the data they are fed, such as photos, neural ...

During the company's fourth-quarter earnings call Thursday, Arduini said the company has no plans to slow down. During the ...

Coronary artery disease is the leading cause of death globally. One of the most common tools used to diagnose and monitor heart disease, myocardial perfusion imaging (MPI) by single photon emission ...

Facial expression recognition (FER) has been widely used in healthcare, assistive technologies, and emotion-aware AI systems, ...

Researchers have developed a method that leverages artificial intelligence to ensure accurate heart scans without added radiation or cost.

Healthcare costs have spiraled out of control ... is a clear-cut example of object classification, exactly what deep learning excels at. As AI legend Geoff Hinton famously declared in 2016 ...

By leveraging machine learning and deep learning models, the research demonstrates how AI can provide highly accurate ...

The Artificial Intelligence of Things framework enhances the accuracy of human activity recognition. The Artificial ...

A recent study introduces an innovative method for analyzing body composition using advanced 3D imaging and deep learning techniques.

could provide a more holistic view of the patient’s ocular health. This integrated approach would likely improve the robustness and reliability of deep learning models. Ongoing advancements in ...

Deep neural networks provide different types ... human-computer interaction, and the learning health system. 17 Even when AI tools are validated and determined to have minimal bias, broad adoption ...

Coronary artery disease is the leading cause of death globally. One of the most common tools used to diagnose and monitor ...