Latest AI and machine learning research in radiology for healthcare professionals.
BACKGROUND: The different tumor appearance of head and neck cancer across imaging modalities, scanne...
This paper presents an arterial distension monitoring scheme using a field-programmable gate array (...
INTRODUCTION: Radiologist shortages threaten the sustainability of breast cancer screening programme...
INTRODUCTION: This study aimed to develop a prognostic nomogram for predicting the recurrence-free s...
A brain tumour is an abnormal mass of tissue. Brain tumours vary in size, from tiny to large. Moreov...
AIM: The objective of this study was to create and authenticate a prognostic model for lymph node me...
PURPOSE: Multifaceted factors contribute to inferior outcomes following anterior cruciate ligament (...
PURPOSE: Developed and validated a deep learning radiomics nomogram using multi-phase contrast-enhan...
BACKGROUND: Accurate segmentation of lung tumors on chest computed tomography (CT) scans is crucial ...
RATIONALE AND OBJECTIVES: To develop an efficient machine-learning model using pituitary MRI radiomi...
PURPOSE: The objective of this study was to preliminarily assess the ability of metabolic parameters...
The preoperative diagnosis of brain tumors is important for therapeutic planning as it contributes t...
Accurate processing and analysis of non-human primate (NHP) brain magnetic resonance imaging (MRI) s...
Although the value of adding AI as a surrogate second reader in various scenarios has been investiga...
BACKGROUND: Patients with a Breast Imaging Reporting and Data System (BI-RADS) 4 mammogram are curre...
Lung ultrasound (LUS) is an effective tool for diagnosing acute heart failure (AHF). However, severa...
Contrast Enhanced Spectral Mammography (CESM) is a dual-energy mammographic imaging technique that f...
Accurate selection of sampling positions is critical in renal artery ultrasound examinations, and th...
This study aimed to evaluate the utility of an artificial intelligence (AI) algorithm in differentia...
In this retrospective study, we aimed to assess the objective and subjective image quality of differ...
BACKGROUND: Prospective observational studies have demonstrated that the machine learning (ML) -guid...