Latest AI and machine learning research in diagnostic radiology for healthcare professionals.
BACKGROUND: Accumulating quantitative outcome parameters may contribute to constructing a healthcare...
PURPOSE: Traditionally, medical imaging repositories have been supported by indoor infrastructures w...
The tongue is a critical organ for a variety of functions, including swallowing, respiration, and sp...
BACKGROUND: The purpose of this study was to apply an artificial neural network (ANN) in patients wi...
BACKGROUND: Radiology reports are usually narrative, unstructured text, a format which hinders the a...
Identifying early-onset schizophrenia spectrum disorders (SSD) at a very early stage remains challen...
BACKGROUND AND OBJECTIVE: Visual-language foundation models (VLMs) have garnered attention for their...
BACKGROUND: Digital twins (DTs) represent a transformative advancement in radiology, integrating mul...
PURPOSE: This study investigates the causal mechanisms underlying radiology report generation by ana...
Recent advances in large models demonstrate significant prospects for transforming the field of medi...
The integration of artificial intelligence (AI) in cancer research has significantly advanced radiol...
The Churchill Method evolved as an approach to shooting sporting clays; essentially, successfully sh...
Explainable AI (XAI) methods are gaining prominence in medical imaging, addressing the critical need...
Although there are relatively few diverse, high-quality medical imaging datasets on which to train c...
The objective of this study is to map the global scientific competitive landscape in the field of ar...
Cysteine cathepsins have been discovered to be substantially expressed in multiple types of cancer. ...
The application of AI for predicting critical heart failure endpoints using echocardiography is a pr...
Distinguishing osteosarcoma from bone callus remains a clinical challenge due to their morphological...
INTRODUCTION: Coronary artery disease is the main cause of mortality worldwide mandating early detec...
Mitral valve (MV) assessment is key to diagnosing valvular disease and to addressing its serious dow...
OBJECTIVE: To develop and validate deep learning models leveraging CT imaging for the prediction and...