In order to meet the rapidly increasing demand for item pools for large-scale assessments, automatic item generation (AIG) emerged about thirty years ago, using pre-programmed algorithms to ...

Purpose: Free-text clinical notes contain rich prognostic information often lost in traditional models limited to structured variables (e.g., age, sex, NIHSS). Deep learning–based natural language ...

A comprehensive Natural Language Processing project focused on clinical dialogue analysis, featuring medical text classification, summarization and generation using traditional machine learning, ...

AI Text Summarization App - A React-based web app that uses three different AI models (BART, Pegasus, T5) to generate high-quality text summaries with sentiment analysis, export options, and a modern ...

T-cell receptor (TCR) sequencing has emerged as a powerful tool for understanding adaptive immune responses, yet challenges persist in deciphering the immense diversity of Complementarity-Determining ...

Background Despite increased awareness of diversity and inclusion in neurointerventional surgery, the representation of women in neurointerventional academic publishing has not been systematically ...

The Master of Information Management and Systems (MIMS) program educates information professionals to provide leadership for an information-driven world. The Master of Information and Data Science ...

An NLP-driven network analysis of Reddit comments reveals that the term "pain" serves as a central hub for symptom discourse, offering insight into how patients describe their experiences. A Natural ...