In the rapidly evolving landscape of healthcare technology, AI-driven medical imaging and diagnostics have surged to the forefront, transforming how clinicians detect, analyze, and treat diseases. As ...

China: A new study published in Academic Radiology suggests that deep learning –based image reconstruction significantly ...

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 ...

A recent Radiology journal study assesses the power of a fully automated deep learning (DL) model to produce deterministic outputs for identifying clinically significant prostate cancer (csPCa). Study ...

A recent study introduces an innovative method for analyzing body composition using advanced 3D imaging and deep learning techniques. This approach aims to provide more accurate assessments of body ...

Researchers at the University of California, Los Angeles (UCLA), in collaboration with pathologists from Hadassah Hebrew ...

Oral potentially malignant disorders (OPMDs), characterized by a wide variety of types and diverse clinical manifestations, have always been difficult to diagnose and differentiate. All of them carry ...

Researchers at Osaka Metropolitan University have discovered a practical way to detect and fix common labeling errors in ...