Development of an Electronic Health Record–Based Algorithm for Predicting Lung Cancer Screening Eligibility in the Population-Based Research to Optimize the Screening Process Lung Research Consortium ...

We developed precompiled lexicons and classification rules as features for the following ML classifiers: logistic regression, random forest, and support vector machines (SVMs). These features were ...

Large language models such as GPT-5 and Llama systematically rate speakers of German dialects less favorably than those using ...

As machine learning technology continues to shock the world, popular artificial intelligence tools such as natural language processing may generate unforeseen issues for humanity. For instance, ...

SLMs targeted at specific workloads could change the relationship between edge devices and the cloud, creating new ...

Start working toward program admission and requirements right away. Work you complete in the non-credit experience will transfer to the for-credit experience when you ...

Information on the nonmedical factors that influence health outcomes, known as social determinants of health, is often collected at medical appointments. But this information is frequently recorded as ...

Treatment of non–muscle-invasive bladder cancer (NMIBC) is guided by risk stratification using clinical and pathologic criteria. This study aimed to develop a natural language processing (NLP) model ...

A new study reveals that as artificial intelligence systems become more capable of complex reasoning, they also tend to act ...