Latest AI and machine learning research in cardiovascular for healthcare professionals.
BACKGROUND: Sentinel lymph node (SLN) status is a clinically important prognostic biomarker in breas...
PURPOSE: Meticulous manual delineations of the prostate and the surrounding organs at risk are neces...
Monoclonal antibodies (mAbs) can be damaged during the aseptic compounding process, with aggregation...
BACKGROUND: Anthracyclines including doxorubicin are essential components of many cancer chemotherap...
BACKGROUND: The macrotrabecular-massive (MTM) is a special subtype of hepatocellular carcinoma (HCC)...
The number of studies on deep learning for medical diagnosis is expanding, and these systems are oft...
Automation and artificial intelligence (AI) is already possible for many radiation therapy planning ...
: To evaluate the comparative effectiveness of treatments, a randomized clinical trial remains the g...
OBJECTIVE: Mammogram-based automatic breast cancer detection has a primary role in accurate cancer d...
Epithelial ovarian cancer (EOC) remains a significant cause of mortality among gynecologic cancers, ...
The effectiveness and precision of disease diagnosis and treatment have increased, thanks to develop...
BACKGROUND/AIM: Heavy-ion irradiation seriously perturbs cellular homeostasis and thus damages cells...
. In MR-only clinical workflow, replacing CT with MR image is of advantage for workflow efficiency a...
We attempted to determine the optimal radiation dose to maintain image quality using a deep learnin...
Recent advances in MRI-guided radiation therapy (MRgRT) and deep learning techniques encourage fully...
OBJECTIVES: The aim of the study is 18F-FDG PET/CT imaging by using deep learning method are predict...
OBJECTIVE: Few studies have explored the clinical feasibility of using deep-learning reconstruction ...
The aim is to support the perception of artificial intelligence in the radiation therapy landscape.
Motion compensation in radiation therapy is a challenging scenario that requires estimating and fore...
PURPOSE: The purpose of this study was to create and evaluate deep learning-based models to detect a...
PURPOSE: Radiation Oncology Learning Health System (RO-LHS) is a promising approach to improve the q...