Objective To assess custom GPT-4 performance in extracting and evaluating data from medical literature to assist in the systematic review (SR) process. Design A proof-of-concept comparative study was ...

Early identification of postoperative delirium (POD) remains challenging. This retrospective observational study compared the performance of large language models (LLMs), Llama-3-70B and GPT-4o, and ...

This project uses UV for dependency management. Krippendorff's alpha is more meaningful for larger data samples, however low agreement can still be a sign of labeling issue. The code requires at least ...

A framework for detecting and analyzing urban street flooding using dashcam imagery, spatial modeling, and multiple data sources. Broadly applies to other urban phenomena visible in public-scene ...

This study reviews the foundations of fuzzy information processing (FIP) and quantum artificial intelligence (Quantum AI / quantum machine learning, QML), surveys recent hybrid work that combines ...

As AI continues to reshape industries, understanding its practical applications can significantly enhance your data analysis skills. In today’s issue of GPT-Python Pulse, we’ll dive into a critical ...

dDepartment of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China eDivision of Neurology, Department of Medicine and Therapeutics ...

The use of real-time magnetic resonance imaging (rt-MRI) of speech is increasing in clinical practice and speech science research. Analysis of such images often requires segmentation of articulators ...

Modern high field and ultra high field magnetic resonance imaging (MRI) experiments routinely collect multi-dimensional data with high spatial resolution, whether multi-parametric structural, ...

We introduce Sleep, a new Python open-source graphical user interface (GUI) dedicated to visualization, scoring and analyses of sleep data. Among its most prominent features are: (1) Dynamic display ...