Latest AI and machine learning research in radiology for healthcare professionals.
BACKGROUND: Accurate detection of glenoid labral tears remains challenging; however, it is essential...
In the French national breast cancer screening program, second reading is performed only for mammogr...
Radiology strongly impacts patient care. However, radiologists' potential to promote high-value care...
BACKGROUND: In the emergency department, rapid prognostic assessment of patients with intracerebral ...
BACKGROUND: Accurate preoperative prediction of renal tumor malignancy is critical for guiding decis...
BACKGROUND: The extensive assessment of vascular health requires the integration of both structural ...
Objectives: To develop a deep learning model based on magnetic resonance imaging (MRI) for the preop...
This study proposes a unique Mixture-of-Experts (MoE)-based deep learning framework for the effectiv...
Parkinson's disease (PD) is a catastrophic neurodegenerative disorder and a major culprit of neurolo...
Parkinson's disease (PD) involves pathological iron accumulation, yet MRI metrics, such as R2* or ma...
BACKGROUND: CT-derived fractional flow reserve (CT-FFR) is a powerful tool for identifying hemodynam...
BACKGROUND: This study aimed to develop and internally validate a machine learning-based model for p...
This guideline presents Part I of the Canadian Association of Radiologists (CAR) Practice Guidelines...
BACKGROUND: Magnetic resonance imaging (MRI) is a complex-valued technique incorporating magnitude a...
Endobronchial ultrasound-guided transbronchial needle aspiration (EBUS-TBNA) is the standard minimal...
PURPOSE: Transvaginal ultrasound (TVUS) is widely used for diagnosing ovarian endometriosis but rema...
PURPOSE: To investigate the prognostic value of an artificial intelligence (AI)-based semi-automated...
PURPOSE OF REVIEW: Globally, cardiovascular disease (CVD) is the leading cause of mortality in women...
Prostate cancer (PCa) is the second most common malignancy in men worldwide, with rising mortality l...
The advent of deep learning has significantly advanced the state of the art in cardiac magnetic reso...
OBJECTIVES: This study aimed to evaluate the performance of three pre-trained deep learning models (...