Latest AI and machine learning research in lung cancer for healthcare professionals.
Neutrophil extracellular traps (NETs) have emerged as key modulators in the tumor microenvironment, ...
BACKGROUND: Accurate preoperative evaluation of rectal cancer is essential for staging and treatment...
INTRODUCTION: Until recently, the widespread use of genetic markers in prostate cancer (PCa) has bee...
The detection of weak radioactive sources in fluctuating background environments is a critical task ...
OBJECTIVE: Airborne environmental contaminants are established carcinogens. This investigation eluci...
In recent years, polysaccharides with potential anticancer activity have attracted widespread attent...
To evaluate the diagnostic performance, methodological quality, and clinical feasibility of ¹⁸F-FDG ...
BACKGROUND: While traditional pathology supports the diagnosis and staging of colorectal cancer (CRC...
Lung adenocarcinoma (LUAD) is the most common subtype of lung cancer and is difficult to distinguish...
PURPOSE: To develop and validate a multimodal ensemble machine learning model integrating multi-sequ...
BACKGROUND: The postoperative prognosis of pathological stage IA lung adenocarcinoma (LUAD) exhibits...
OBJECTIVE: The objective of this study is to evaluate the combined prognostic values of 18 F-fluorod...
A robust predictive biomarker is critical for identifying patients with NSCLC who may benefit from i...
PURPOSE: Extranodal extension (ENE) is a biomarker in oropharyngeal carcinoma (OPC) but can only be ...
BACKGROUND: Smooth muscle (SM) invasion represents a critical feature of prostate cancer (PCa) progr...
AIM: Worsening renal function (WRF) is a common and serious complication of type 2 diabetes mellitus...
An increasing number of Artificial intelligence (AI) and machine learning (ML) models are being deve...
BACKGROUND: Dysregulated lipid metabolism is common in patients with gastrointestinal (GI) cancer. T...
ETHNOPHARMACOLOGICAL RELEVANCE: In non-small cell lung cancer (NSCLC), fatal outcomes predominantly ...
PURPOSE: To develop an interpretable fusion deep learning model based on super-resolution (SR) MRI f...
BACKGROUND: Stereotactic Body Radiation Therapy (SBRT) has become an established treatment for sever...