Latest AI and machine learning research in breast cancer for healthcare professionals.
BACKGROUND: In breast cancer patients receiving radiotherapy (RT), accurate target delineation and r...
PURPOSE: The aim of the study was to develop and validate a deep learning radiomic nomogram (DLRN) f...
OBJECTIVE: Left-ventricular (LV) strain measurements with the Displacement Encoding with Stimulated ...
Recently, artificial intelligence technologies and algorithms have become a major focus for advancem...
Deep learning is becoming increasingly popular and available to new users, particularly in the medic...
Breast cancer continues to be a widespread health concern all over the world. Mammography is an impo...
INTRODUCTION: The aim of this study is to compare productivity of the KIRO Oncology compounding robo...
The robotic platform is becoming a multidisciplinary tool, versatile, and suitable for multiple proc...
Human mobility is a primary driver of infectious disease spread. However, existing data is limited i...
This study aims to demonstrate a low-cost camera-based radioluminescence imaging system (CRIS) for h...
OBJECTIVE: To evaluate the effect of a commercial deep learning algorithm on the image quality of ch...
Left-ventricular (LV) strain measurements with the Displacement Encoding with Stimulated Echoes (DEN...
PURPOSE: Accurate lymph node (LN) malignancy classification is essential for treatment target identi...
Natural language processing (NLP), which aims to convert human language into expressions that can be...
Computed tomography (CT) provides information for diagnosis, PET attenuation correction (AC), and ra...
PURPOSE: To generate diagnostic F-FDG PET images of pediatric cancer patients from ultra-low-dose F-...
PURPOSE: Novel actuarial deep learning neural network (ADNN) architectures are proposed for joint pr...
Worldwide, the burden of cancer is drastically increasing over the past few years. Among all types o...
PURPOSE: We sought to develop machine learning models to detect multileaf collimator (MLC) modeling ...
Medical ionizing radiation procedures and especially medical imaging are a non negligible source of ...
Reliable and accurate prediction model capturing the changes in solar radiation is essential in the ...