Latest AI and machine learning research in lung cancer for healthcare professionals.
This research investigates the application of fuzzy graph theory to address critical security challe...
Clear cell renal cell carcinoma (ccRCC) is the most prevalent type of renal cell carcinoma. However,...
INTRODUCTION: Integrating decision support mechanisms utilising artificial intelligence (AI) into me...
Lung cancer, which claims 1.8Â million lives annually, is still one of the leading causes of cancer-r...
Non-invasive diagnostic monitoring techniques have become essential for treating lung cancer (LC), w...
The expression levels of microRNAs (miRNAs) are strongly linked to cancer progression, making them p...
PURPOSE: To assess the predictive capability of CT radiomics features for early recurrence (ER) of p...
Radiomics refers to the utilization of automated or semi-automated techniques to extract and analyze...
Drug response prediction (DRP) is a central task in the era of precision medicine. Over the past dec...
Epidermal growth factor receptor (EGFR) is a potential target for anticancer therapies and plays a c...
BACKGROUND: Deep learning(DL) models can improve significantly discrimination of lymph node metastas...
BACKGROUND AND PURPOSE: To establish predictive models for radiation-induced hypoglossal neuropathy ...
PURPOSE: Clinical management of pediatric chronic kidney disease requires estimation of glomerular f...
OBJECTIVES: The 2009 Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation without ra...
In this study, using RNA-Seq gene expression data and advanced machine learning techniques, we ident...
PURPOSE: Bridging radiation therapy (BRT) is effective for local control in patients with relapsed o...
Lung adenocarcinoma (LUAD) constitutes a major cause of cancer-related fatalities worldwide. Early i...
Low-dose PET offers a valuable means of minimizing radiation exposure in PET imaging. However, the p...
PURPOSE: Stereotactic magnetic resonance guided adaptive radiation therapy (SMART) is a new option f...
AIM: To develop a positron emission tomography/computed tomography (PET/CT)-based radiomics model fo...
ObjectiveStudy aims to develop diagnostic and prognostic models for lung adenocarcinoma (LUAD) using...