Latest AI and machine learning research in radiology for healthcare professionals.
AIMS: Left ventricular hypertrophy (LVH) is a common clinical finding associated with adverse cardio...
OBJECTIVES: The use of deep learning models for quantitative measurements on coronary computed tomog...
In this paper, a two-stage task weakly supervised learning algorithm is proposed. It accurately achi...
RATIONALE AND OBJECTIVES: The RANO-BM criteria, which employ a one-dimensional measurement of the la...
OBJECTIVES: Predicting rheumatoid arthritis (RA) progression in undifferentiated arthritis (UA) pati...
Brain tumors present a significant global health challenge, and their early detection and accurate c...
Scapular morphological attributes show promise as prognostic indicators of retear following rotator ...
PURPOSE: HER2 expression is crucial for the application of HER2-targeted antibody-drug conjugates. T...
OBJECTIVE: To establish morphological and radiomic models for early prediction of cognitive impairme...
Pancreatic ductal adenocarcinoma (PDAC) is the deadliest malignant tumor, with a grim 5-year overall...
RATIONALE AND OBJECTIVES: To assess the performance of an industry-developed deep learning (DL) algo...
This study assessed the feasibility of large language models such as GPT-4 (OpenAI, San Francisco, C...
PURPOSE: Traditional computer-assisted detection (CADe) algorithms were developed for 2D mammography...
The initial evaluation of stenosis during coronary angiography is typically performed by visual asse...
BACKGROUND: Artificial intelligence chatbots are being increasingly used for medical inquiries, part...
Inter-individual variability in symptoms and the dynamic nature of brain pathophysiology present sig...
The most prevalent form of malignant tumors that originate in the brain are known as gliomas. In ord...
Estimating the high-resolution (HR) blood flow velocity and pressure fields for the diagnosis and tr...
OBJECTIVES: This study compared the characteristics of lesions suspicious for hepatocellular carcino...
PURPOSE: Systems equipped with natural language (NLP) processing can reduce missed radiological find...
Parkinson disease (PD) is a prevalent neurodegenerative disorder, and its accurate diagnosis is cruc...