Latest AI and machine learning research in breast cancer for healthcare professionals.
This study aimed to present a new approach to predict to delirium admitted to the acute palliative c...
OBJECTIVE: To evaluate the performance of radiomic analysis on contrast-enhanced mammography images ...
OBJECTIVES: To investigate the feasibility of low-radiation dose and low iodinated contrast medium (...
Skin cancer is one of the most life-threatening diseases caused by the abnormal growth of the skin c...
Sjögren's disease is an autoimmune disorder affecting exocrine glands, causing dry eyes and mouth an...
The specific emitter identification is widely used in electronic countermeasures, spectrum control, ...
. Deep learning reconstruction (DLR) algorithms exhibit object-dependent resolution and noise perfor...
PURPOSE: The purpose of this study was to evaluate the achievable radiation dose reduction of an ult...
Radiation-induced lung injury (RILI) is a dose-limiting toxicity for cancer patients receiving thora...
Radiation treatment of cancers like prostate or cervix cancer requires considering nearby bone struc...
BACKGROUND: Primary pancreatic signet ring cell carcinoma (PSRCC), an extremely rare histologic vari...
BACKGROUND: Radiation induced acute skin toxicity (AST) is considered as a common side effect of bre...
BACKGROUND: Accurate determination of human epidermal growth factor receptor 2 (HER2) is important f...
Baseflow is a crucial water source in the inland river basins of high-cold mountainous region, playi...
BACKGROUND: When treating patients with coronary artery disease and concurrent renal concerns, we of...
BACKGROUND: Advanced unresectable gastric cancer (GC) patients were previously treated with chemothe...
BACKGROUND AND OBJECTIVES: Deep learning models (DLMs) are applied across domains of health sciences...
BACKGROUND: In radiation therapy (RT), accelerated partial breast irradiation (APBI) has emerged as ...
Image-based deep learning models are used to extract new information from standard hematoxylin and e...
Monitoring drug efficacy is significant in the current concept of companion diagnostics in metastati...
The cited article reports on a convolutional neural network trained to predict response to neoadjuva...