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 ...

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 ...

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, ...

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 ...

Artificial Intelligence (AI) is revolutionizing many sectors, including scientific research. Language Model Learners (LLMs), a particular type of AI, are now playing a crucial role in the research ...

Recent years have witnessed AI evolve beyond single-mode systems to generate multiple streams of information for multiple modalities, including images, text, audio, video, and more, that too, within ...

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 ...