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 ...

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 ...

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 ...

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 ...

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 ...

Among the most significant challenges facing the healthcare industry are rising costs, the aging population and the shrinking healthcare workforce. On top of that, policy changes are putting pressure ...

The University of Turku in Finland is one of 10 university research labs across Europe to collaborate in building brand new large language models in a variety of European languages. The group chose to ...