ascopubs.org

Development of a Machine Learning Model for Aspyre Lung Blood: A New Assay for Rapid Detection of Actionable Variants From Plasma in Patients With Non–Small Cell Lung Cancer

Development and Validation of an Ipsilateral Breast Tumor Recurrence Risk Estimation Tool Incorporating Real-World Data and Evidence From Meta-Analyses: A Retrospective Multicenter Cohort Study Data ...

AACR: New platform uses machine learning to predict responses in patients with lung cancer

An artificial intelligence (AI) model developed by researchers at The University of Texas MD Anderson Cancer Center ...
EurekAlert!

Deep learning model estimates cancer risk of lung nodules

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 ...

Researchers develop AI tool to assess lung cancer surgery complication risk

Researchers from the University at Buffalo and Roswell Park Comprehensive Cancer Center are developing an artificial ...
TMCnet

Sarasota Memorial Cancer Team Achieves 75% Early-Stage Lung Cancer Diagnosis Rate by Expanding Detection Beyond Screening

Sarasota Memorial Health Care System (SMH) reported that 75% of lung cancers diagnosed through an innovative early detection program at SMH's Brian D. Jellison Cancer Institute in 2025 were found at ...

New robotic technology helps detect lung cancer earlier, boost survival chances

A new robotic procedure is transforming how doctors detect and treat lung cancer, helping catch it earlier and improve ...

Cabrini Hospital using new lung detection technology for early cancer diagnosis

A new lung detection machine at CHRISTUS St. Frances Cabrini Hospital is helping doctors identify lung issues earlier.