New artificial intelligence technology streamlines assessment processes, replacing manual review systems with automated ...

For many diseases and chronic conditions, an individual's genes play a role in their likelihood of developing the disease. While some inherited diseases, such as cystic fibrosis or sickle cell anemia, ...

A study found a machine learning model more accurately predicted major adverse cardiac events, such as heart attacks, than ...

Tokyo, one of the world's most densely populated megacities, sits on a highly active seismic zone where the threat of major earthquakes is ever-present. One of the most destructive aspects of seismic ...

AI is increasingly used to monitor solar assets, though it’s most commonly used for operations and maintenance. But, software and inspection data is also being integrated into how projects are ...

Researchers used advanced machine learning to increase the accuracy of a national cardiovascular risk calculator while preserving its interpretability and original risk associations. Risk calculators ...

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...

Implementation of an academic precision oncology service in a community setting. This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This abstract does not include a full text ...

Cyber threats are increasing in speed and complexity, driving the need for advanced detection techniques. Machine learning is ...

This map depicts the predicted types of soil in Tokyo with an unprecedented level of detail. Such maps are essential for urban planning and earthquake risk assessment, as they reveal areas that are ...