Sepsis is one of the most common and lethal syndromes encountered in intensive care units (ICUs), and acute respiratory ...
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 model predicts poor pain-related quality of life after endometriosis surgery to assist clinicians with preoperative counseling.
A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results ...
Researchers have used artificial intelligence to predict dozens of previously unknown carbon crystal structures, including at ...
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 predicted a patient's risk of hepatocellular carcinoma (HCC), the most common ...
The Next Frontier of Machine Learning: 2026 Breakthroughs and the Rise of World Models The landscape of artificial intelligence and ...
This proposal outlines a machine learning-based approach aimed at improving productivity in haulage operations within ...
Researchers at Trinity College Dublin have found that a machine learning model could help clinicians predict which people ...