Latest AI and machine learning research in radiology for healthcare professionals.
Purpose: Accurate dose calculation is essential in radiotherapy for precise tumor irradiation while ...
Computed tomography (CT) enterography is a primary imaging modality for assessing inflammatory bowel...
Background: Current deep learning models in computational pathology, radiology, and digital patholog...
BackgroundPlasma biomarkers demonstrate strong within-cohort performance for identifying cerebral am...
Ultrasound acquisition requires skilled probe manipulation and real-time adjustments. Vision-languag...
Background Individual clinical cognitive assessments (CCA) for Alzheimer's disease (AD) provide broa...
AI-based image reconstruction models are increasingly deployed in clinical workflows to improve imag...
Ultrasound acquisition requires skilled probe manipulation and real-time adjustments. Vision-languag...
Clinical decision-making often involves selecting tests that are costly, invasive, or time-consuming...
The biological definition of Alzheimer's disease (AD) relies on multi-modal neuroimaging, yet the cl...
Efficient and explainable breast cancer (BC) risk prediction is critical for large-scale population-...
In spite of the strong performance of machine learning (ML) models in radiology, they have not been ...
Deep learning underpins a wide range of applications in MRI, including reconstruction, artifact remo...
Purpose: Existing deep learning-based MRI artifact correction models exhibit poor clinical generaliz...
To ensure safe clinical integration, deep learning models must provide more than just high accuracy;...
Extranodal extension (ENE) is an emerging prognostic factor in human papillomavirus (HPV)-associated...
Objective: To develop a robust and compact deep learning model for automated knee cartilage segmenta...
Image registration is a fundamental task that aligns anatomical structures between images. While CNN...
Deep learning has transformed medical image and video analysis, but it usually requires large, well ...
Optical coherence tomography angiography (OCTA) provides non-invasive visualization of retinal micro...
Magnetic Resonance Imaging (MRI) is a cornerstone in medicine and healthcare but suffers from long a...