Latest AI and machine learning research in radiology for healthcare professionals.
Multiple instance learning (MIL) is the standard approach for whole-slide image (WSI) classification...
Large Language Models (LLMs) generate realistic synthetic data but offer no guarantee that their out...
Objectives To evaluate whether class-conditional conformal prediction (CP) can provide reliable unce...
Background: Meningiomas are the most common primary intracranial tumors in adults, and volumetric as...
Precise segmentation of brain structures in magnetic resonance imaging (MRI) is essential for reliab...
Tuberculosis (TB) continues to pose a significant global public health challenge with substantial mo...
Purpose: Mechanical thrombectomy (MT) improves stroke outcomes, but is limited by a lack of local tr...
Carotid atherosclerosis is a major contributor to ischemic stroke and transient ischemic attack. Con...
Recently, deep generative models have been used for posterior inference in inverse problems, includi...
Background: The pivot shift (PS) test is the most specific clinical examination for anterolateral ro...
Contactless assessment of cardiopulmonary function remains an unmet need, with current approaches re...
Background - Previous studies evaluated large language model (LLM) performance on the American Socie...
Modern low-field magnetic resonance imaging (MRI) technology offers a compelling alternative to stan...
The inherent electronic and speckle noise complicates clinical interpretation of ultrasound images. ...
Structural MRI-to-amyloid PET synthesis has been proposed as a non-invasive alternative for amyloid ...
INTRODUCTION | Fully supervised 3D segmentation of high-resolution ex vivo MRI is limited by the pro...
Multi-organ biological aging is often represented as parallel organ-specific clocks, but how age gap...
Purpose: In this study, we aimed to develop and evaluate an artificial intelligence-based diagnostic...
The US Food and Drug Administration (FDA) maintains a public list of artificial intelligence and mac...
Spontaneous thought is pervasive in everyday human cognition, yet datasets capturing its neural dyna...
Quantitative Systems Pharmacology (QSP) models play an inherently interventional role in pharmaceuti...