This study highlights the potential for using deep learning methods on longitudinal health data from both primary and ...

In recent years, artificial intelligence has become more accessible than ever before. Powerful libraries, automated platforms ...

The study, titled “GenAI-Powered Framework for Reliable Sentiment Labeling in Drug Safety Monitoring,” published in Applied ...

Numbers are the language of science—yet in research articles, they are often buried within the text and difficult to analyze.

Abstract: The exponential growth of textual data from news, social media, and other platforms necessitates automated systems for effective organization and categorization. Traditional text ...

aDepartment of Thoracic Surgery and Oncology, The First Affiliated Hospital of Guangzhou Medical University, China State Key Laboratory of Respiratory Disease & National Clinical Research Center for ...

To develop machine learning (ML) and neural network (NN) models to predict glaucoma surgical outcomes, including intraocular pressure (IOP), use of ocular antihypertensive medications, and need for ...

ABSTRACT: Since transformer-based language models were introduced in 2017, they have been shown to be extraordinarily effective across a variety of NLP tasks including but not limited to language ...

Exploring the Perspectives of Pediatric Health Care Providers, Youth Patients, and Caregivers on Machine Learning Suicide Risk Classification: Mixed Methods Study ...