Latest AI and machine learning research in oncology/hematology for healthcare professionals.
Breast cancer remains a significant contributor to cancer-related deaths among women globally. We se...
To evaluate the usefulness of low-keV multiphasic computed tomography (CT) with deep learning image ...
OBJECTIVES: To develop a machine learning-based pipeline for multi-organ/tissue personalized radiati...
Artificial intelligence (AI) radiation therapy (RT) planning holds promise for enhancing the consist...
PURPOSE: Conventional normal tissue complication probability (NTCP) models for patients with head an...
INTRODUCTION: Artificial Intelligence (AI) has emerged as a promising tool in the delivery of health...
PURPOSE: Nonalcoholic steatohepatitis (NASH) has been an increasingly significant contributor to hep...
INTRODUCTION: Artificial intelligence (AI) is a rapidly growing field of computational research with...
Tumor-stroma ratio (TSR) has been recognized as a valuable prognostic indicator in various solid tum...
3D co-cultures are key tools for in vitro biomedical research as they recapitulate more closely the ...
BACKGROUND: Cell adhesion molecules (CAMs) play a vital role in cell-cell interactions, immune respo...
Automatic tumor segmentation via positron emission tomography (PET) and computed tomography (CT) ima...
Childhood leukemia is a prevalent form of pediatric cancer, with acute lymphoblastic leukemia (ALL) ...
Osteosarcoma (OS) is the most common primary malignant tumour of the bone with high mortality. Here,...
Emerging Industry 5.0 designs promote artificial intelligence services and data-driven applications ...
This study explores the use of neural networks (NNs) as surrogate models for Monte-Carlo (MC) simula...
Over the last decades, the use of artificial intelligence, machine learning and deep learning in med...
Artificial intelligence (AI) algorithms have been retrospectively evaluated as replacement for one r...
Ultrafast fluorescent confocal microscopy is a hypothetical approach for breast cancer detection bec...
The prevalence of brain tumor disorders is currently a global issue. In general, radiography, which ...
The identification of tumors through gene analysis in microarray data is a pivotal area of research ...