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 ...

Since the advent of computer technology, artificial intelligence (AI), as an important branch, has gradually matured. Looking back at history, AI in the 1950s was largely confined to theoretical ...

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 ...

Learn how Google’s Embedding Gemma redefines compact AI with customizable dimensions and advanced NLP features for developers ...

Every time a physician or a nurse practitioner sees a patient, they create a document. It may be a clinic note or an encounter note. Similarly, every time a diagnostic physician such as a radiologist ...

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 ...

Logical Question Answering and Logical Consistency The research team systematically categorized the logical challenges faced by large models into two main categories: logical question answering ...