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 ...

The landmark paper revealing the secrets of the Chinese AI model DeepSeek has been published, marking a significant advance ...

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 ...

Apple has published a post with multiple highlights, and all the studies presented, at a two-day event on natural language ...

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, ...

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 ...

In 2022, the release of the ChatGPT large model by OpenAI in the United States attracted global attention from the tech community, prompting Chinese tech companies to quickly follow suit by launching ...