Latest AI and machine learning research in breast cancer for healthcare professionals.
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...
OBJECTIVE: Radiation necrosis (RN) can be difficult to radiographically discern from tumor progressi...
PURPOSE: The dicentric chromosome assay (DCA), often referred to as the 'gold standard' in radiation...
A deep learning architecture, denoted as CNNsLSTM, is proposed for hourly rainfall-runoff modeling i...
INTRODUCTION: Peritoneal carcinomatosis is considered a late-stage manifestation of neoplastic disea...
The use of artificial intelligence (AI) solutions is rapidly changing the way radiation therapy task...
RATIONALE AND OBJECTIVES: To develop and validate a nomogram that combines contrast-enhanced spectra...
Breast cancer, a highly formidable and diverse malignancy predominantly affecting women globally, po...
BACKGROUND: The most recent advances in Computed Tomography (CT) image reconstruction technology are...
BACKGROUND: Neoadjuvant chemotherapy has variable efficacy in patients with non-small-cell lung canc...
PURPOSE: To evaluate the Stratipath Breast tool for image-based risk profiling and compare it with a...
OBJECTIVE: We developed a deep learning model for distinguishing radiation therapy (RT)-related chan...
OBJECTIVES: Accurate risk stratification of patients with stage II and III colorectal cancer (CRC)Â p...
The most fatal disease affecting women worldwide now is breast cancer. Early detection of breast can...
BACKGROUND: Pneumonitis is a well-described, potentially disabling, or fatal adverse effect associat...
. X-ray computed tomography employing sparse projection views has emerged as a contemporary techniqu...
OBJECTIVE: To develop an artificial intelligence (AI) system for the early prediction of residual ca...