A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results ...

As a company that specializes in training AI systems, Alegion knows that models in fact do precisely what they are taught to do. AI models comprise algorithms and data, and they are only as good as ...

Using routine clinical data, the model gauges liver cancer risk better than existing tools, offering a potential way to identify high-risk patients missed by current screening criteria.

Machine learning (ML) has moved from being a niche academic concept to a driving force behind many of the digital tools people use every day. Machine learning is used in everything from media ...

A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results predicted a patient's risk of hepatocellular carcinoma (HCC), the most common ...

Insulin resistance - when the body doesn't properly respond to insulin, a hormone that helps control blood glucose levels - is one of the fundamental causes of diabetes. In addition to diabetes, it is ...

As agent hype fades, machine learning quietly proves it’s still essential.