Latest AI and machine learning research in radiology for healthcare professionals.
Cerebral computed tomography perfusion (CTP) imaging requires complete acquisition of contrast bolus...
Colorectal cancer remains a major cause of cancer death and morbidity worldwide. Surgery is a major ...
BACKGROUND: Artificial intelligence (AI) systems can potentially aid the diagnostic pathway of prost...
PURPOSE: MRI is essential in the management of brain tumours. However, long waiting times reduce pat...
BACKGROUND: Three-dimensional (3D) ultrasound (US) imaging has shown promise in non-invasive monitor...
PURPOSE: This study aims to assess the diagnostic value of ultrasound habitat sub-region radiomics f...
PURPOSE: To conduct the fusion of radiomics and deep transfer learning features from the intratumora...
BACKGROUND: Pathological complete response (pCR) is an essential criterion for adjusting follow-up t...
This study aimed to evaluate whether the image quality of 1.5 T magnetic resonance imaging (MRI) of ...
BACKGROUND: We developed an explainable deep-learning (DL)-based classifier to identify flow-limitin...
(1) Background: The aim was to validate an AI-based system compared to the classic method of reading...
This paper presents the implementation of two automated text classification systems for prostate can...
Deep learning image reconstruction (DLIR) algorithms employ convolutional neural networks (CNNs) for...
This study aims to investigate the feasibility of preoperatively predicting histological subtypes of...
BACKGROUND: Baseline right ventricular (RV) function derived from 3-dimensional analyses has been de...
Stroke is a major threat to life and health in modern society, especially in the aging population. S...
Antimicrobial resistance (AMR) poses a critical global One Health concern, ensuing from unintentiona...
BACKGROUND: This study aims to explore machine learning(ML) methods for non-invasive assessment of W...
Ultrasound imaging is an essential tool in anesthesiology, particularly for ultrasound-guided periph...
In recent years, Artificial Intelligence has been used to assist healthcare professionals in detecti...
The deep learning method is an efficient solution for improving the quality of undersampled magnetic...