Journal of Medical Internet Research

Prediction of Moderate-to-Severe Sepsis-Associated Acute Kidney Injury Using a Dual-Timepoint Machine Learning Model: Development, Multiregional Validation, and Clinical ...

Objective: This study aimed to identify critical time points in SA-AKI progression development and validate dynamic, stratified machine learning prediction models for moderate-to-severe (Kidney ...
Journal of Medical Internet Research

Large Language Model–Driven Knowledge Graph Construction in Sepsis Care Using Multicenter Clinical Databases: Development and Usability Study

Conclusions: This study represents a pioneering effort in using LLMs, particularly GPT-4.0, to construct a comprehensive sepsis knowledge graph. The innovative application of prompt engineering, ...
Press Gazette

UK news industry backs law to stop deceptive AI scraping

A proposed UK law is being drafted to stop companies deploying AI bots from using deceptive tactics to scrape websites. The Automated Online Software (Access and Transparency) Bill is unlikely to ...
IEEE

Development of a Compact Tactile Sensor Using a Pinhole RGB Camera

Abstract: Miniaturized vision-based tactile sensors (VBTSs) are essential for compact and high-resolution surface perception in constrained environments. However, conventional lens-based imaging ...
IEEE

3004.5-2025 - IEEE Recommended Practice for the Application of Low-Voltage Circuit Breakers in Industrial and Commercial Power Systems

Abstract: The material in this recommended practice was originally published in the first edition of IEEE Std 1015™ (IEEE Blue Book™) in 1997 and is an update of the material in Chapter 1 through ...