Latest AI and machine learning research in radiology for healthcare professionals.
Continuous depth-of-interaction (cDOI) detectors enable single-ended readout in positron emission to...
OBJECTIVE: To develop and validate habitat radiomics as a biomarker for predicting axillary lymph no...
Patch-wise learning is a common strategy for training neural networks on large-scale dense predictio...
Accurate three-dimensional (3D) nuclear instance segmentation is a prerequisite for quantitative phe...
PURPOSE: Osteoarthritis (OA) is now understood as a heterogeneous syndrome driven by diverse biologi...
OBJECTIVES: To develop and validate interpretable machine learning (ML) models incorporating MRI-der...
OBJECTIVES: Depth of stromal invasion (DSI) is a key prognostic factor significantly influencing tre...
Pediatric neurosurgery increasingly utilizes precision medicine, but practitioners encounter challen...
Rectal cancer remains a global health burden, with immunotherapy emerging as a transformative treatm...
OBJECTIVE: To evaluate the diagnostic performance of magnetic resonance imaging (MRI)-based artifici...
PURPOSE: To evaluate whether an automated AI-based pipeline can identify 3-dimensional (3D) anatomic...
Terminal cell types derived from human pluripotent stem cells (hPSCs) are at the forefront of emergi...
BACKGROUND: Acute ischemic stroke is a leading cause of death and long-term disability worldwide, wi...
Pancreatic cystic lesions are increasingly detected due to the widespread use of high-resolution cro...
BACKGROUND: Patients with rectal cancer who have a complete clinical response (cCR) to neoadjuvant c...
OBJECTIVES: This study aimed to develop a super lightweight deep learning model for brain age estima...
Ultrasound Computed Tomography (USCT) represents a paradigm shift in medical imaging, offering quant...
Time-resolved three-dimensional phase-contrast MRI (4D Flow MRI) enables non-invasive quantification...
A decade has passed since the groundbreaking work by Defrise et al. (2012), which demonstrated that ...
BACKGROUND AND PURPOSE: Clinical adoption of 7T MRI has been limited by lengthy acquisitions. Accele...
The rapid advancements in PET technology, coupled with the need for accurate and efficient imaging, ...