Latest AI and machine learning research in breast cancer for healthcare professionals.
The aim was to evaluate a deep learning-based auto-segmentation method for liver delineation in Y-90...
PURPOSE: This study aims to develop an artificial intelligence model to predict severe radiation-ind...
Despite improvements in machine learning algorithms applied to digital pathology, only moderate accu...
BACKGROUND: Catheter-related thrombosis (CRT) is a serious complication in cancer patients undergoin...
BACKGROUND: This study aimed to evaluate the impact of nipple-sparing mastectomy (NSM) and modified ...
INTRODUCTION: Ovarian Cancer (OC) is one of the leading causes of cancer deaths among women. Despite...
The choice of imaging modalities is essential in sarcoma management, as different techniques provide...
Nanomaterials represent an innovation in cancer imaging by offering enhanced contrast, improved targ...
The American College of Veterinary Radiology (ACVR) and the European College of Veterinary Diagnosti...
Despite the continued high prevalence of colorectal cancer in the Western world, recent years have w...
BACKGROUND AND PURPOSE: Accurate recurrence risk evaluation in patients with stage II and III colore...
BACKGROUND: Accurate prediction of pathologic complete response (pCR) following neoadjuvant immunoth...
INTRODUCTION: Unsupervised machine learning (ML) approaches such as clustering have not been commonl...
RATIONALE: Neoadjuvant chemotherapy (NAC) is a key element of treatment for locally advanced breast ...
. X-ray computed tomography employing low-dose x-ray source is actively researched to reduce radiati...
RATIONALE AND OBJECTIVES: Accurate determination of human epidermal growth factor receptor 2 (HER2) ...
The increasing use of ionizing radiation has raised concerns about adverse and long-term health risk...
BACKGROUND: Traditional surgical education is based on observation and assistance in surgical practi...
PURPOSE: Cone beam computed tomography (CBCT)-based online adaptive radiation therapy is carried out...
Triple-Negative Breast Cancer (TNBC) is a highly aggressive subtype of breast cancer (BC) characteri...
Self-supervised learning (SSL) automates the extraction and interpretation of histopathology feature...