Artificial Intelligence (AI) is revolutionizing the dynamics of technological advancement in the field of medical imaging, ...
Recent research (2024-2025) consistently demonstrates the advantages of integrated AI-VR training: Knowledge Acquisition: ...
A deep learning model using retinal images obtained during retinopathy of prematurity (ROP) screening may be used to predict diagnosis of bronchopulmonary dysplasia (BPD) and pulmonary hypertension ...
Ultrasound (US) imaging is a widely employed diagnostic tool used for real-time imaging of various organs and tissues using ultrasonic sound waves. The waves are sent into the body, and images are ...
MoGLo-Net tracks the motion of the ultrasound transducer using tissue speckle data without the need for external sensors, creating a clear 3D ultrasound volume for accurate visualization of bodily ...
Can deep learning catch chronic illness before symptoms show? This article explores how time-aware neural networks are reshaping early detection and care planning for conditions like diabetes and COPD ...