Latest AI and machine learning research in radiology for healthcare professionals.
The objective of this investigation was to improve the diagnosis of breast cancer by combining two s...
Breast cancer is the most common cancer in women. Breast masses are one of the distinctive signs for...
OBJECTIVES: In this study, we propose an interpretable deep learning radiomics (IDLR) model based on...
BACKGROUND: Acute kidney injury (AKI) and contrast-induced nephropathy (CIN) are common complication...
BACKGROUND: Contrast-enhanced ultrasound (CEUS) is frequently used to distinguish benign parotid tum...
BACKGROUND: In the field of medical imaging, high-resolution (HR) magnetic resonance imaging (MRI) i...
BACKGROUND: Femoral head collapse is a critical pathological change and is regarded as turning point...
Germinal matrix hemorrhage (GMH) is a critical condition affecting premature infants, commonly diagn...
Radiology, as a highly technical and information-rich medical specialty, is well suited for artifici...
BACKGROUND: Recently developed artificial intelligence-based coronary angiography (AI-QCA, fully aut...
Deep learning-based automated segmentation of vascular structures in preoperative CT angiography (CT...
INTRODUCTION: Multiplexed PET imaging revolutionized clinical decision-making by simultaneously capt...
OBJECTIVES: This study aimed to develop an integrated segmentation-free deep learning (DL) framework...
Functional connectivity network (FCN) data from functional magnetic resonance imaging (fMRI) is incr...
At present, multimodal medical image fusion technology has become an essential means for researchers...
BACKGROUND: The WHO's recommendations on antenatal care underscore the need for ultrasound assessmen...
Timely and precise identification of acute ischemic stroke (AIS) within 4.5Â h is imperative for effe...
RATIONALE AND OBJECTIVES: Hemorrhagic transformation (HT) is one of the most serious complications i...
RATIONALE AND OBJECTIVES: Misregistration artifacts between the PET and attenuation correction CT (C...
PURPOSE: To examine the impact of deep learning-augmented contrast enhancement on image quality and ...
Diagnosis and treatment efficacy of major depressive disorder (MDD) currently lack stable and relia...