Latest AI and machine learning research in radiology for healthcare professionals.
OBJECTIVES: To assess the correlation between the use of artificial intelligence (AI) software and b...
PURPOSE: The thyroid imaging reporting and data system (TIRADS) was developed as a standard global t...
Large language models (LLMs) demonstrate impressive capabilities in generating human-like content an...
Venous blood collection is a widely used medical diagnostic technique, and with rapid advancements i...
Lung cancer is one of the most common life-threatening worldwide cancers affecting both the male and...
PURPOSE: Lower-grade gliomas typically exhibit 5-aminolevulinic acid (5-ALA)-induced fluorescence in...
Breast mass segmentation plays a crucial role in early breast cancer detection and diagnosis, and wh...
The detection of patients in the cognitive normal (CN), mild cognitive impairment (MCI), and Alzheim...
Automatic segmentation of Parkinson's disease (PD) related deep gray matter (DGM) nuclei based on br...
Advancements in medical imaging and endovascular grafting have facilitated minimally invasive treatm...
Estimation of the age of epidural hematoma (EDH) is a challenge in clinical forensic medicine, and t...
OBJECTIVES: To evaluate the value of radiomics based on ultrasonography in differentiating follicula...
The integration of artificial intelligence (AI) into healthcare is becoming increasingly mainstream....
BACKGROUND: Radiomics and deep learning (DL) can individually and efficiently identify the pathologi...
Type-B Aortic Dissection is a rare but fatal cardiovascular disease characterized by a tear in the i...
Artificial intelligence (AI) is increasingly recognized for its transformative potential in radiolog...
Advancements in artificial intelligence (AI) have significantly transformed the field of abdominal r...
In recent years, the incidence of nodular thyroid diseases has been increasing annually. Ultrasonogr...
BACKGROUND: The presence of a blurred area, depending on its localization, in a mammogram can limit ...
PURPOSE: This study introduces GraFMRI, a novel framework designed to address the challenges of reco...
In this society with a high incidence of cancer, cancer screening has become an important method to ...