Latest AI and machine learning research in breast cancer for healthcare professionals.
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) 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...
OBJECTIVE: To develop and evaluate a multidimensional comorbidity index (MCI) that identifies ovaria...
PURPOSE: The dose deposited outside of the treatment field during external photon beam radiation the...
Drug resistance to chemotherapeutic agents remains a formidable challenge in cancer treatment, signi...
In recent years, with the development of artificial intelligence, deep learning has been gradually a...
OBJECTIVE: This study aims to examine the ability of deep learning (DL)-derived imaging features for...