CT is one of the most widely used diagnostic imaging tools, but accurately estimating patient radiation dose remains ...

A research team led by Professor Kanghyun Nam from the Department of Robotics and Mechanical Engineering at DGIST has ...

A research team has developed a new hybrid artificial intelligence framework that can accurately estimate leaf nitrogen ...

Background While C-section (CS) deliveries exhibit significant socioeconomic inequalities in low- and middle-income countries ...

A research team has developed a method for improving crop growth monitoring by accurately estimating the fraction of absorbed ...

This global macroeconomic analysis estimates that diabetes mellitus will cost the world economy INT$10.2 trillion between ...

Learn how the Least Squares Criterion determines the line of best fit for data analysis, enhancing predictive accuracy in finance, economics, and investing.

Background Prehospital delays remain critical barriers to timely acute coronary syndrome (ACS) care, particularly for ...

The group created a physical AI-based vehicle state estimation system designed to track how electric vehicles behave in real ...

The issue: Many runners (particularly women) report that their fitness trackers tell them they’re exercising in a higher zone ...

Objectives This paper examines the differential impact of responsive parenting and nutrition interventions on early child ...

Food-insecure individuals have fewer total annual visits (in-person and via telehealth) across 4 types of office-based and outpatient visits: general checkup, diagnosis or treatment, psychotherapy or ...