Latest AI and machine learning research in radiology for healthcare professionals.
STUDY DESIGN: Retrospective two-center external validation study conducted at two medical centers, c...
Scapholunate (SL) ligament injuries are a common cause of wrist pain and instability but can be diag...
BACKGROUND: Magnetic resonance imaging (MRI) in children requires multiple sequences, leading to len...
BACKGROUND: Fontan-associated liver disease (FALD) is associated with morbidity and mortality in pat...
BACKGROUND: Rosacea is a common chronic inflammatory dermatosis with complex pathophysiology and het...
Efficient and accurate image segmentation models play a vital role in medical image segmentation, ho...
Bone scan imaging for the detection of bone metastasis of breast cancer has been widely adopted; how...
OBJECTIVE: Rapid and accurate mapping of brain tissue pH is crucial for early diagnosis and manageme...
Classification of benign, borderline, and malignant adnexal masses is critical to effective clinical...
Pediatric swallowing dysfunction (SwD) poses serious health risks, including aspiration, malnutritio...
Articular cartilage is crucial for joint function; however, it has limited regenerative capacity whe...
BACKGROUND: Accurate differentiation between luminal A and B subtypes of breast cancer is critical f...
BACKGROUND: Long acquisition time limits the clinical utility of coronary magnetic resonance angiogr...
Voxel-based morphometry (VBM) using T1-weighted magnetic resonance imaging is a pivotal tool for ass...
BACKGROUND: Pulmonary vein (PV) isolation is a well-established treatment for atrial fibrillation (A...
The integration of robotics and artificial intelligence (AI) into nanomedicine represents a signific...
BACKGROUND AND OBJECTIVE: Pelvic fracture urethral injury (PFUI) is serious and requires prompt diag...
PURPOSE OF REVIEW: Early diagnosis of skin cancer is essential for patient care. Noninvasive skin im...
Neuropsychiatric systemic lupus erythematosus (NPSLE) remains challenging to diagnose because of het...
OBJECTIVES: The aim of this study was to develop an artificial intelligence model to automatically d...
RATIONALE AND OBJECTIVES: Accurate prediction of axillary lymph node metastasis (ALNM) after neoadju...