A deep-learning serial CT biomarker improves survival prediction in immunotherapy-treated NSCLC and outperforms RECIST. Find ...
Wheezing, a high-pitched whistling sound, is a common indicator of chronic respiratory diseases, including asthma and chronic obstructive pulmonary disease (COPD), due to inflammation and swelling of ...
Lightweight convolutional neural networks improved lung cancer classification accuracy in histopathological images while ...
Bridging speed and accuracy in radiation therapy QA Led by Professor Fu Jin, the study addresses a critical challenge in ...
An artificial intelligence (AI) deep learning tool that estimates the malignancy risk of lung nodules achieved high cancer detection rates while significantly reducing false-positive results. Results ...
ATS 2025, San Francisco – A deep learning model was able to predict future lung cancer risk from a single low-dose chest CT scan, according to new research published at the ATS 2025 International ...
OAK BROOK, Ill. – An artificial intelligence (AI) deep learning tool that estimates the malignancy risk of lung nodules achieved high cancer detection rates while significantly reducing false-positive ...
Comparative Analysis of Generative Pre-Trained Transformer Models in Oncogene-Driven Non–Small Cell Lung Cancer: Introducing the Generative Artificial Intelligence Performance Score This ...
A deep-learning model based on a chest radiograph (CXR) for cardiovascular disease (CVD) risk (CXR CVD-Risk) predicts major adverse cardiovascular events (MACE) beyond the clinical standard, according ...