Latest AI and machine learning research in radiology for healthcare professionals.
Multi-modal magnetic resonance imaging (MRI) plays a crucial role in comprehensive disease diagnosis...
To achieve precise Couinaud liver segmentation in preoperative planning for hepatic surgery, accommo...
BACKGROUND: This study aimed to construct and assess a comprehensive model that integrates MRI-deriv...
BACKGROUND: In recent years, the integration of artificial intelligence (AI) techniques into medical...
BACKGROUND: In myocardial perfusion imaging (MPI) with single-photon emission computed tomography (S...
Brain cancer poses a significant global health challenge, with mortality rates showing a concerning ...
Detecting brain tumors early on is critical for effective treatment and life-saving efforts. The ana...
The objective of this investigation was to improve the diagnosis of breast cancer by combining two s...
On October 8 2024, the Royal Swedish Academy of Sciences announced the 2024 Nobel Prize in Physics w...
Although transarterial chemoembolization has improved as an interventional method for hepatocellular...
INTRODUCTION: Endoscopic ultrasound (EUS) allows for characterization and biopsy of pancreatic lesio...
Infective endocarditis (IE) is a severe infection of the inner lining of the heart, known as the end...
Breast cancer is the most common cancer in women. Breast masses are one of the distinctive signs for...
PURPOSE: Medical reports, governed by HIPAA regulations, contain personal health information (PHI), ...
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...
Germinal matrix hemorrhage (GMH) is a critical condition affecting premature infants, commonly diagn...
BACKGROUND: Femoral head collapse is a critical pathological change and is regarded as turning point...
RATIONALE AND OBJECTIVES: To develop and evaluate an AI algorithm that detects breast cancer in MRI ...