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 ...

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 ...

Researchers at the Massachusetts Institute of Technology (MIT) are gaining renewed attention for developing and open sourcing a technique that allows large language models (LLMs) — like those ...

Among them, the annual conference of the Association for Computational Linguistics (ACL), a premier event in the field of Natural Language Processing (NLP), has captivated the attention of scholars ...

Nebraska Medicine, based in Omaha, Neb., is using generative AI to develop its own tools internally — a move that is reducing reliance on ...

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 ...

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, ...

Let’s delve into the technical aspects, challenges, and benefits of deploying language models on edge/IoT devices.

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 ...