Latest AI and machine learning research in radiology for healthcare professionals.
IMPORTANCE: For diagnostics and presurgical planning in otology, both magnetic resonance imaging (MR...
INTRODUCTION: Liver tumours are a leading cause of global morbidity and mortality. Current diagnosti...
Early detection of focal liver lesions (FLLs) is crucial for clinical practice, but ultrasound perfo...
Preoperative discrimination between follicular thyroid carcinoma (FTC) and follicular thyroid adenom...
OBJECTIVES: Achieving a pathological complete response (pCR) following neoadjuvant chemoradiotherapy...
PURPOSE: To develop and evaluate a 3D deep learning model for detecting superior mesenteric artery o...
BACKGROUND: Ovarian cysts are a common pelvic disorder in women, and accurate differentiation betwee...
OBJECTIVES: To develop and validate a magnetic resonance imaging (MRI)-based radiomics model of the ...
INTRODUCTION AND AIMS: Skeletal Class II malocclusion is heterogeneous, and conventional two-dimensi...
BACKGROUND. Vision-language models (VLMs) have potential to identify findings on radiologic imaging ...
The integration of machine learning tools into protein engineering offers substantial promise, yet l...
MRI-guided high-intensity focused ultrasound (MRgHIFU) has emerged as an alternative to other neurom...
The diagnostic accuracy of AIDOC-VO, the first commercial artificial intelligence tool for intracran...
Cortical thinning and atrophy are hallmarks of brain aging that have been characterized using magnet...
Early diagnosis and localization of the ischemic region are critical for effective treatment of isch...
Deepfakes have posed severe challenges to healthcare systems as fake medical images and videos can b...
OBJECTIVE: To develop and evaluate the performance of a predictive machine learning model for poorly...
Liver fibrosis staging (LFS) informs treatment decisions and prognostic assessment in liver disease....
Dynamic Contrast-Enhanced Magnetic Reso nance Imaging (DCE-MRI) is pivotal in breast cancer diag nos...
Ki-67 is a critical prognostic marker for hepatocellular carcinoma (HCC), yet its clinical assessmen...
OBJECTIVE: Low-field magnetic resonance imaging (MRI) offers distinct advantages in terms of afforda...