Background Although chest X-rays (CXRs) are widely used, diagnosing mitral stenosis (MS) based solely on CXR findings remains ...

Researchers in Slovakia have demonstrated a machine-learning framework that predicts PV inverter output and detects anomalies using only electrical and temporal data, achieving 100% accuracy in ...

Master’s thesis position (M.Sc. student) in Deep Learning for Healthcare.

We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

Despite the excitement surrounding generative AI, the data shows that scientific research is still powered primarily by ...

Researchers at Thomas Jefferson University have developed an automated machine learning (AutoML) model that can accurately differentiate between two common types of brain tumors using preoperative MRI ...

Researchers at Thomas Jefferson University have developed a groundbreaking automated machine learning (AutoML) model that can accurately differentiate between two common types of brain tumors using ...

Introduction: Early detection of cognitive decline is essential for preventing dementia progression, yet conventional screening tools such as the Mini-Mental State Examination (MMSE) require trained ...

Department of Preventive Medicine, College of Basic Medicine and Forensic Medicine, Henan University of Science and Technology, Luoyang, China Background: Effective connectivity (EC) refers to the ...

You can animate images and create dynamic videos using Google's Veo 2 AI model for free. Besides that, Runway lets you turn static images into dynamic videos using its powerful Gen-4 AI model. Finally ...