Latest AI and machine learning research in radiology for healthcare professionals.
RATIONALE AND OBJECTIVES: To develop and validate multimodal deep-learning models based on clinical ...
This study addresses the challenge of precise breast tumor segmentation in ultrasound images, crucia...
(1) Background: Unruptured Intracranial Aneurysms (UIAs) are common blood vessel malformations, occu...
Current imaging methods for diagnosing breast cancer (BC) are associated with limited sensitivity an...
PURPOSE: We have built a novel AI-driven QA method called AutoConfidence (ACo), to estimate segmenta...
OBJECTIVES: Alzheimer's disease (AD) is a common neurodegenerative disorder that primarily affects o...
Alzheimer's disease (AD) presents a significant challenge in neurodegenerative research and clinical...
PURPOSE: To investigate the application value of support vector machine (SVM) model based on diffusi...
BACKGROUND: In recent years, as deep learning has received widespread attention in the field of hear...
PURPOSE: To assess the feasibility of the single-shot turbo spin echo sequence using deep learning-b...
Liver ultrasound is widely used in clinical practice due to its advantages of non-invasiveness, non-...
OBJECTIVE: To develop and compare various preoperative cervical stromal invasion (CSI) prediction mo...
BACKGROUND: Bipolar disorder (BD) is a chronic psychiatric mood disorder that is solely diagnosed ba...
AIM: We sought to assess the image quality of three-dimensional (3D) T2-weighted (T2w) turbo spin ec...
Accurate gestational age (GA) prediction is crucial for monitoring fetal development and ensuring op...
: Despite CTAs being critical for preoperative planning in autologous breast reconstruction, experie...
This study investigates the impact of air pollution on health outcomes in Middle Eastern countries, ...
INTRODUCTION: Endobronchial ultrasound transbronchial needle aspiration (EBUS-TBNA) for lung cancer ...
Prognostic markers for long-term outcomes are lacking in patients with deferred (nonculprit) coronar...
Accurate segmentation of the pancreas in computed tomography (CT) holds paramount importance in diag...
Some pathologies such as cancer and dementia require multiple imaging modalities to fully diagnose a...