Latest AI and machine learning research in radiology for healthcare professionals.
BACKGROUND: Magnetic resonance imaging (MRI) is a crucial tool for visualizing orbital structures an...
OBJECTIVE: To review the latest developments in self-supervised deep learning (DL) techniques for ma...
Fast and accurate organ-at-risk (OAR) and gross tumor volume (GTV) contour propagation methods are n...
An external validation of IAIA-BL-a deep-learning based, inherently interpretable breast lesion mali...
AIMS: Obesity is associated with functional alterations in the brain. Although spatial organisation ...
Terahertz (THz) optical sensing and imaging offer significant potential in a range of biological and...
Musculoskeletal ultrasound is a key tool in rheumatology for diagnosing and managing inflammatory ar...
Purpose To develop and evaluate an open-source deep learning model for detection and localization o...
Clinical decision-making is inherently complex, time-sensitive, and prone to error. AI-enabled clini...
The PET Imaging Site Qualification Program for amyloid positron emission tomography (PET) in Japan i...
As artificial intelligence (AI) becomes increasingly prevalent within interventional radiology (IR) ...
Introduction The emergence of connectomics in neurosurgery has allowed for construction of detailed ...
The urgency to accelerate PE management and minimize patient risk has driven the development of arti...
Deep-learning models for prostate cancer detection typically require large datasets, limiting clinic...
OBJECTIVES: To assess whether the diagnostic performance of a commercial artificial intelligence (AI...
PURPOSE: The International Society of Urological Pathology (ISUP) grading of prostate cancer (PCa) i...
Magnetic resonance imaging (MRI) is time-consuming, posing challenges in capturing clear images of m...
PURPOSE: This study aimed to develop a deep learning (DL) model based on three-dimensional multi-par...
OBJECTIVE: Ultrasound shear strain is a potential biomarker of myofascial dysfunction. However, the ...
Recent innovations in vector flow imaging promise to bring the modality closer to clinical applicati...
Early detection through screening is critical for reducing gastric cancer (GC) mortality. However, i...