Objectives Structural MRI of the brain is routinely performed on patients referred to memory clinics; however, resulting radiology reports, including volumetric assessments, are conventionally stored ...

Abstract: With the rise of Quantum Natural Language Processing (QNLP) for complex language tasks, ensuring data privacy and security has become a critical challenge. Traditional NLP relies on vast ...

When you’re working with AI and natural language processing, you’ll quickly encounter two fundamental concepts that often get confused: tokenization and chunking. While both involve breaking down text ...

This is a Natural Language Processing (NLP) application that provides comprehensive analysis of text input, including various statistics and visualizations. The application is available both as a ...

Real world analysis of VTE incidence in lung cancer: A comprehensive assessment of the Khorana score and other clinical factors in predicting VTE incidence. This is an ASCO Meeting Abstract from the ...

Background: Free-text comments in patient-reported outcome measures (PROMs) data provide insights into health-related quality of life (HRQoL). However, these comments are typically analysed using ...

In recent decades, medical short texts, such as medical conversations and online medical inquiries, have garnered significant attention and research. The advances in the medical short text have ...

School of Computer Science and Technology, Zhejiang Normal University, Jinhua, China. This study aims to design and implement an efficient news text classification system based on deep learning to ...