Latest AI and machine learning research in radiology for healthcare professionals.
Robust nuclear segmentation in 3D microscopy images is a critical yet unsolved challenge in quantita...
Alveolar ridge preservation (ARP) after tooth extraction depends on accurate three-dimensional bone ...
RATIONALE AND OBJECTIVES: The study aimed to develop and validate a deep learning (DL) model based o...
RATIONALE AND OBJECTIVES: To develop and validate a brain imaging-based multimodal radiomics model f...
Lesions with a Prostate Imaging-Reporting and Data System (PI-RADS) score of 4 or greater on multipa...
Pituitary neuroendocrine tumors (PitNETs) are common intracranial neoplasms with heterogeneous hormo...
Prostate MRI has become integral to prostate cancer diagnosis and management, extending beyond prebi...
Scattered coincidences are typically rejected in conventional imaging in Positron Emission Tomograph...
Positron Emission Tomography (PET) is a molecular imaging technique that creates an image of radioph...
Accurate dose verification remains a major challenge in particle therapy. Dose monitoring methods su...
RATIONALE AND OBJECTIVES: Radiology residency often fails to account for individual differences betw...
PURPOSE: To review the current literature on imaging modalities and segmentation techniques used to ...
Artificial intelligence (AI) has rapidly transformed the potential for opportunistic assessment of b...
Objective. Magnetic resonance imaging (MRI) and ultrasound (US) provide complementary anatomical and...
INTRODUCTION: Brain-age gap (BAG), the difference between predicted age and chronological age, is st...
AIMS: Heart failure (HF) in non-ST-segment elevation acute coronary syndrome (NSTE-ACS) is associate...
Quantifying individual upper-limb muscle volumes from MRI provides key insight into muscle-specific ...
Medical ultrasound (US) image segmentation faces significant challenges due to limited labeled data ...
Artificial intelligence (AI) has rapidly transformed cardiac CT, extending its clinical utility from...
OBJECTIVE: Intratumoral heterogeneity may limit the representativeness of biopsy-based Ki-67 assessm...
Green classification of cystocele on dynamic transperineal ultrasound (TPUS) remains operator-depend...