Artificial Intelligence has moved beyond experimentation in financial services. It is now deeply embedded in credit ...

New compact platforms reduce cost, footprint and complexity of automated inspection for manufacturers entering Industry ...

In this article, I would like to engage the reader in a thought experiment. I am going to argue that in the not-so-distant future, a certain type of prompt injection attack will be effectively ...

As generative artificial intelligence use expands, colleges and universities need clearer ways to recognize when support ...

Derivatives exchange OneBullEx, launched in October 2025, has built its entire platform architecture around futures execution from day one. Its infrastructure vertically integrates automated execution ...

Artificial intelligence is entering pediatric operating rooms faster than the rules governing its use can keep up. From autonomous surgical robots stitching tissue without a human hand on the controls ...

Objective To estimate the prevalence of potential overtreatment of type 2 diabetes mellitus (T2DM) among older adults and to develop and compare predictive models to identify patient and physician ...

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.

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 ...

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

Machine learning model predicts poor pain-related quality of life after endometriosis surgery to assist clinicians with preoperative counseling.