Latest AI and machine learning research in radiology for healthcare professionals.
PURPOSE: In the current clinical diagnostic process, the gold standard for lymph node metastasis (LN...
BACKGROUND: The I-SPY 2 trial is a national-wide, multi-institutional clinical trial designed to eva...
Focal liver lesions (FLL) are common incidental findings in abdominal imaging. While the majority of...
PURPOSE: To assess the efficacy of radiomics features extracted from non-contrast computed tomograph...
Over 50 million people globally suffer from Alzheimer's disease (AD), emphasizing the need for effic...
Magnetic resonance imaging (MRI) plays a pivotal role in diagnosing and staging prostate cancer. Pre...
Nuclear-derived morphological features and biomarkers provide relevant insights regarding the tumour...
BACKGROUND: The integration of Artificial Intelligence (AI) into radiology education presents a tran...
The purpose of this paper is to provide an overview of the cutting-edge applications of artificial i...
OBJECTIVES: This study was designed to assess computed tomography (CT)-based radiomics of colorectal...
Testicular histology based on testicular biopsy is an important factor for determining appropriate t...
PURPOSE: The purpose of this study was to evaluate the diagnostic performance of automated deep lear...
RATIONALE AND OBJECTIVES: Efficient communication between radiologists and clinicians ordering compu...
This study aims at improving the lower-limb muscle segmentation accuracy of deep learning approaches...
Sparse matrix beamforming (SMB) is a computationally efficient reformulation of delay-and-sum (DAS) ...
BACKGROUND: Fluorodeoxyglucose positron emission tomography (FDG PET) with suppression of myocardial...
Microrobots possessing multifunctional integration are desired for therapeutics and biomedicine appl...
Medical image classification using convolutional neural networks (CNNs) is promising but often requi...
Interventional oncology provides image-guided therapies, including transarterial tumor embolization ...
With the ongoing revolution of artificial intelligence (AI) in medicine, the impact of AI in radiolo...
PURPOSE: This study aims to demonstrate the performance of machine learning algorithms to distinguis...