A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.
Abdus Sobur receives a 2025 Global Recognition Award for developing artificial intelligence models that support earlier ...
The new artificial intelligence-based software and robot-assisted biopsy technology helps providers catch and treat lung cancer in its earliest stages.
Hospital Sisters Health System is using artificial intelligence to help catch lung cancer earlier, but sometimes before ...
While the U.S. election dominated global headlines, there has been lots of other news you may have missed, including Microsoft researchers who detected lung cancer risks through web search logs, and ...
Novel Graph Neural Network (N-GNN) Model Achieves Superior Accuracy in Early Lung Cancer Detection, Paving the Way for Enhanced Diagnostic Capabilities. The research, a collaboration between BioMark's ...
Cancer diagnoses traditionally require invasive or labor-intensive procedures such as tissue biopsies. Researchers at the Ludwig-Maximilians-Universität München (LMU) have now reported on a method ...
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 ...