A machine learning model using routine clinical data more accurately predicted 5-year heart failure risk in patients with CKD ...

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.

Researchers developed and externally validated a machine learning model to predict the 28-day mortality risk in ICU patients ...

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

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

Sepsis is one of the most common and lethal syndromes encountered in intensive care units (ICUs), and acute respiratory ...

Researchers at Trinity College Dublin have found that a machine learning model could help clinicians predict which people ...

This proposal outlines a machine learning-based approach aimed at improving productivity in haulage operations within ...

The number of scientific papers is growing so rapidly that scientists are no longer able to keep track of all of them, even ...

Long-term lithium therapy remains the most effective maintenance treatment for bipolar disorder, yet it poses a significant ...

Principal Developer Janmejaya Mishra explores how AI and machine learning are advancing predictive intelligence systems ...

What does gentrification in Philadelphia look like? “High-rise, modern apartment buildings.” “(A) modern look that’s so out ...