Latest AI and machine learning research in oncology/hematology for healthcare professionals.
BACKGROUND: Investigations into the intricacies of glycosylation modifications, a prevalent post-tra...
PURPOSE: To develop models using different machine learning algorithms to predict high-risk symptom ...
Computed tomography (CT) is a crucial medical imaging technique which uses x-ray radiation to identi...
Preoperative ultrasound examination of thyroid nodules is the most economical and effective screenin...
OBJECTIVE: To systematically evaluate glioma radiomics literature on differentiating between radiati...
With the rapid advancement of artificial intelligence (AI) technologies, including deep learning, la...
PURPOSE: The aim of this work is to compare different machine learning models for predicting patholo...
Ovarian cancer (OC) is the third most common malignant tumor of women and is accompanied by an alter...
Integrins, a family of transmembrane receptor proteins, are well known to play important roles in ca...
BACKGROUND: Brain tumor classification from magnetic resonance (MR) images is crucial for early diag...
The past decade has seen the introduction of artificial intelligence (AI)-based approaches aimed at ...
Lung cancer is the leading cause of cancer-related deaths worldwide, primarily due to late-stage det...
Large language models (LLMs) hold significant promise in the field of medical diagnosis. There are s...
We developed an automatic method based on a convolutional neural network (CNN) that identifies metas...
Lung cancer is the leading cause of global cancer-related deaths, which emphasizes the critical impo...
The variability in image modalities presents significant challenges in medical image classification,...
Diagnosing ureteral stones with low-dose CT in patients with metal hardware can be challenging beca...
BACKGROUND: Radiomics has shown promise in the diagnosis and prognosis of lung cancer. Here, we inve...
BACKGROUND: Screening of malignant hematological diseases is of great importance for their diagnosis...
Skin cancer can be prevalent in people of any age group who are exposed to ultraviolet (UV) radiatio...
This study aims to apply a multi-modal approach of the deep learning method for survival prediction ...