Latest AI and machine learning research in radiology for healthcare professionals.
BACKGROUND: The optimal acceleration strategy for deep learning reconstruction (DLR) in cervical can...
Alzheimer's disease (AD) is a progressive neurodegenerative disorder, with mild cognitive impairment...
BACKGROUND: Brain metastases (BM) are the most common intracranial tumors in adults, and stereotacti...
Point-of-care ultrasound (POCUS) has emerged as an essential bedside tool for the rapid assessment a...
RATIONALE AND OBJECTIVES: To develop and validate a machine learning model combining multiparametric...
This study aims to develop and validate an MRI-based image-language collaborative framework for diff...
Accurate femoral nerve (FN) segmentation in ultrasound images is crucial for nerve blocks but remain...
To develop a deep learning-based automated trunk muscle volumetry method using whole-body CT from PE...
This study aims to develop a 2.5D deep learning model with shape and margin as auxiliary tasks to im...
The earlier identification of the tumors in human brain can improve the life time of the affected pa...
OBJECTIVE: To develop a multimodal machine learning model that integrates clinical data and ultrasou...
OBJECTIVE: Preoperative risk stratification of high-risk endometrial lesions remains a clinical chal...
BACKGROUND AND OBJECTIVE: The global prevalence rate of chronic kidney disease (CKD) is on the rise,...
PURPOSE: To investigate whether synthetically generated fractal data can be used to train deep learn...
This study compared quantitative measurements of femoral cortical bone between zero echo time magnet...
BACKGROUND: Large language models (LLMs) have shown promising performance in medical knowledge asses...
BACKGROUND: A persistent translational gap separates the high research-benchmark performance of arti...
OBJECTIVE: To evaluate the value of retinal optical coherence tomography angiography (OCTA) microcir...
Neurodegenerative diseases such as Alzheimer's disease (AD) and frontotemporal dementia (FTD) exhibi...
OBJECTIVE: Ultrasound fusion imaging is a hybrid technique that combines real-time ultrasonography (...
OBJECTIVES: This study aims to evaluate the diagnostic performance of an artificial intelligence (AI...