Latest AI and machine learning research in cardiovascular for healthcare professionals.
Estrogen receptor (ER) positivity by immunohistochemistry has long been a main selection criterium f...
Nervous system has distinct anisotropy and some intrinsic biophysical properties enable neurons pres...
Radiation-induced acoustic (RA) imaging is a promising technique for visualizing the invisible radia...
Breast cancer, which is the most common type of malignant tumor among humans, is a leading cause of ...
PURPOSE: Positional errors resulting from motion are a principal challenge across all disease sites ...
Liposome-based anticancer agents take advantage of the increased vascular permeability and transvasc...
OBJECTIVES: In interventional bronchial artery embolization (BAE), periprocedural cone beam CT (CBCT...
One of the most cancers in women that can be fatal is breast cancer. Radiation therapy, chemotherapy...
RATIONALE AND OBJECTIVES: To develop and validate a radiogenomics model integrating clinical data, r...
SIGNIFICANCE: Interventional cardiac procedures often require ionizing radiation to guide cardiac ca...
BACKGROUND: Invasive breast cancer patients are increasingly being treated with neoadjuvant chemothe...
INTRODUCTION: Cardiotoxicity is a potential prognostically important complication of certain chemoth...
BACKGROUND: We aimed to construct and validate a deep learning (DL) radiomics nomogram using baselin...
PURPOSE: Artificial intelligence (AI)-based autocontouring in radiation oncology has potential benef...
PURPOSE: Technological progress of machine learning and natural language processing has led to the d...
PURPOSE: The emerging online adaptive radiation therapy (OART) treatment strategy based on cone beam...
RATIONALE AND OBJECTIVES: To develop a MRI-based deep learning signature for predicting axillary res...
PURPOSE: Chat Generative Pre-Trained Transformer (ChatGPT), an artificial intelligence program that ...
Microplastics (MPs) and nanoplastics (NPs) are global pollutants with emerging concerns. Methods to ...
As artificial intelligence (AI) is increasingly integrated in healthcare, it is incumbent on healthc...
OBJECTIVES: This study aims to establish nomograms to accurately predict the overall survival (OS) a...