Latest AI and machine learning research in diagnostic radiology for healthcare professionals.
Artificial intelligence (AI) has transformed medical imaging by detecting insights and patterns ofte...
Recent advances in artificial intelligence have witnessed the emergence of large-scale deep learning...
BACKGROUND AND AIMS: The long-term treat-to-target (T2T) approach in ulcerative colitis (UC) aims fo...
In the field of medical imaging equipment, fault diagnosis plays a vital role in guaranteeing stable...
BACKGROUND: Colorectal cancer is the third most common malignant tumor with the third highest incide...
Imaging flow cytometry (IFC), as an extension of conventional flow cytometry, has emerged as a cutti...
Pre-implantation genetic testing for aneuploidy (PGT-A) via embryo biopsy helps in embryo selection ...
BACKGROUND: Medical images play an important role in diagnosis and treatment of pediatric solid tumo...
Artificial Intelligence (AI) algorithms showcase the potential to steer a paradigm shift in clinical...
Hepatocellular carcinoma (HCC) is a prevalent cancer that significantly contributes to mortality glo...
The implementation of deep neural networks has spurred the creation of deep learning reconstruction ...
Background It is unclear whether artificial intelligence (AI) explanations help or hurt radiologists...
Generative artificial intelligence (AI) has been applied to images for image quality enhancement, do...
OBJECTIVE: Artificial intelligence (AI) models trained using medical images for clinical tasks often...
The application of deep learning to spatial transcriptomics (ST) can reveal relationships between ge...
The paper discusses biases in medical imaging analysis, particularly focusing on the challenges pose...
Radiology reports are an essential communication method for ensuring smooth workflow in healthcare. ...
OBJECTIVE: To explore the diagnostic value of micropure imaging (MI) combined with strain elastograp...
BACKGROUND: The diagnostic criteria for lateral lymph node metastasis in rectal cancer have not been...
Medical image analysis has witnessed a paradigm shift with the advent of artificial intelligence, pa...
Modern neural network models have demonstrated exceptional classification capabilities comparable to...