The application of artificial intelligence (AI) in lung cancer, particularly in surgical
approaches, has significantly transformed the healthcare landscape. AI has demonstrated …

Organ-on-a-chip (OOC) is a new type of biochip technology. Various types of OOC systems
have been developed rapidly in the past decade and found important applications in drug …

Simple Summary For early-stage hepatocellular carcinoma (HCC)(size≤ 5 cm), the
prediction of microvascular invasion (MVI) before operation is important for the therapeutic …

Background Recently, the application of deep learning (DL) has made great progress in
various fields, especially in cancer research. However, to date, the bibliometric analysis of …

Background To verify overall survival predictions made with residual convolutional neural
network-determined morphological response (ResNet-MR) in patients with unresectable …

Lung cancer is the leading cause of cancer deaths among both men and women,
representing approximately 25% of cancer fatalities each year. The treatment landscape for …

Background Currently, no tool exists for risk stratification in patients undergoing
segmentectomy for non–small cell lung cancer (NSCLC). Purpose To develop and validate …

Lung cancer remains a global health challenge, leading to substantial morbidity and
mortality. While prevention and early detection strategies have improved, the need for …

Background Several studies have suggested that lung tissue heterogeneity is associated
with overall survival (OS) in lung cancer. However, the quantitative relationship between the …

Accurately predicting the prognosis of patients with lung cancer before or at the time of
treatment would offer clinicians an opportunity to tailor management plans more precisely to …