Latest AI and machine learning research in lung cancer for healthcare professionals.
RATIONALE AND OBJECTIVES: The research aims to examine how CT-derived habitat radiomics can be used ...
BACKGROUND: Visceral pleural invasion (VPI), including PL1 (the tumor invades beyond the elastic lay...
The automated processing of Electronic Health Records (EHRs) poses a significant challenge due to th...
BACKGROUND: Delineating the internal gross tumor volume (IGTV) is crucial for the treatment of non-s...
PURPOSE: Recurrences after curative resection in early-stage and locoregionally advanced non-small c...
BACKGROUND: Interfraction variations during radiation therapy pose a challenge for patients with cer...
ETHNOPHARMACOLOGICAL RELEVANCE: Lonicerae Japonicae Flos (Caprifoliaceae) (LJF), an herb with the ho...
OBJECTIVE: To evaluate the feasibility of generative pre-trained transformer-4 (GPT-4) in generating...
Subtraction computed tomography angiography (sCTA) can effectively separate enhanced cerebral arteri...
OBJECTIVE: Lung adenocarcinoma (LUAD) continues to be a primary cause of cancer-related mortality gl...
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...
PURPOSE: To assess the predictive capability of CT radiomics features for early recurrence (ER) of p...
The expression levels of microRNAs (miRNAs) are strongly linked to cancer progression, making them 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...