Latest AI and machine learning research in radiology for healthcare professionals.
PURPOSE: Intracranial calcifications are commonly found in adults and may represent either benign or pathological lesions. Conventional imaging modalities detect static macrocalcifications but do not capture molecular microcalcification. In this study, we used 18F-sodium fluoride (NaF) PET/computed tomography (CT) to idetect intracranial molecular microcalcification. METHODS: A total of 127 subjec...
Postoperative atrial fibrillation (POAF) is a common adverse event after cardiac surgery. It is associated with increased risk of both morbidity and mortality. Predictive modalities that stratify patients vulnerable to POAF have demonstrated both poor efficacy and conflicting results on their predictive ability. This narrative review aims to highlight the research on the existing technological POA...
PURPOSE: To explore the role of MRI-based habitat radiomics in assessing the metastatic status of renal cell carcinoma (RCC). METHODS: This study retr...
BACKGROUND: Nephrolithiasis affects approximately 15% of the population and often remains undetected in asymptomatic individuals. Current diagnostic a...
Focal therapy offers a middle ground between active surveillance and whole-gland treatment for patients with low- and intermediate-risk prostate ...
Radiomics is a process of extracting quantitative features from medical images, such as MRI. This process, combined with artificial intelligence, has ...
PURPOSE: As MRI frequently requires general anesthesia in pediatric patients, there is an undersupply in clinical routine. This may result in delayed ...
Artificial intelligence (AI) has emerged as a transformative force in ophthalmology, enabling automated, accurate, and efficient clinical reporting. T...
Alzheimer's disease (AD) is an irreversible neurodegenerative disorder whose progression is closely associated with time. However, most diagnostic mod...
BACKGROUND: Early and accurate classification of breast tumors from MRI scans is essential for improving patient outcomes. However, a key limitation o...
Surface plasmon resonance (SPR) has emerged as an important optical technology for the real-time, label-free analysis of biomolecular interactions. Wh...
Bone biomechanics is essential for understanding how bone structure, composition, and mechanical function interact in healthy and diseased states. Con...
PURPOSE/OBJECTIVE(S): Cervical cancer patients are at a high risk of tumour recurrence. Accurate delineation of the primary gross tumour volume (GTV) ...
BACKGROUND: Recent advances in Artificial Intelligence (AI) and machine learning algorithms have transformed diagnostic tasks in dentistry and endodon...
BACKGROUND: Super-resolution deep learning reconstruction (SR-DLR) has been developed to reduce image noise and enhance spatial resolution beyond that...
PURPOSE: To propose a brain tissue-selective, optimized slice-by-slice B 0 $$ {B}_0 $$ shimming for high-resolution brain diffusion MRI. METHODS...
AIMS: The combined assessment of multiple abdominal imaging traits in relation to type 2 diabetes remains incompletely characterised. The study examin...
Current methods for radiological classification in traumatic brain injury (TBI), such as the Marshall and Rotterdam score, provide an incomplete descr...
BACKGROUND AND OBJECTIVES: Brain shift during neurological surgery for brain tumors can be caused by factors such as retraction, resection, and osmoti...
BACKGROUND: C-X-C motif chemokine receptor 4 (CXCR4)-directed radiopharmaceutical therapy (RPT) represents a promising option for hematologic malignan...