Latest AI and machine learning research in lung cancer for healthcare professionals.
Soft tissue metastasis in esophageal cancer is a very rare entity. A 76-year-old man was referred fo...
Solar radiation plays a critical role in the carbon sequestration processes of terrestrial ecosystem...
AIM: This study evaluates the comparative effectiveness of pathologists versus artificial intelligen...
Integrating artificial intelligence (AI) into radiation oncology has revolutionized clinical workflo...
Traditional methods for diagnosing chronic kidney disease (CKD) via laboratory data may not be capab...
PURPOSE: Hepatocellular carcinoma (HCC) remains a global health concern, marked by increasing incide...
BACKGROUND: Investigations into the intricacies of glycosylation modifications, a prevalent post-tra...
Computed tomography (CT) is a crucial medical imaging technique which uses x-ray radiation to identi...
OBJECTIVE: To systematically evaluate glioma radiomics literature on differentiating between radiati...
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...
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 ...
Most classification efforts for primary subtypes of lung adenocarcinoma (LUAD) have not yet been int...
PURPOSE: This study investigated the effect of multiple magnetic resonance (MR) sequences on the qua...
. Although radiotherapy techniques are a primary treatment for head and neck cancer (HNC), they are ...
With bio-medical wearables becoming an essential part of Internet of Medical things (IoMT) for monit...
PURPOSE: This multicenter study aimed to develop and validate a multiscale deep learning radiomics n...
BACKGROUND: Proton pencil beam scanning (PBS) treatment planning for head and neck (H&N) cancers is ...
Tumor cellularity (TC) in lung adenocarcinoma slides submitted for molecular testing is important in...
OBJECTIVES: To evaluate the efficiency of super-resolution deep-learning reconstruction (SR-DLR) opt...