Background In an ophthalmology emergency department, determining treatment urgency is crucial for patient safety and the efficient use of resources. The aim of this study was to use artificial ...

Summarization of texts have been considered as essential practice nowadays with the careful presentation of the main ideas of a text. The current study aims to provide a methodology of summarizing ...

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 ...

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 ...

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 ...

Abstract: Large quantities of data have been generated through various applications such as social media, online platforms, etc., and analyzing these data requires a significant amount of time and ...