As with many types of cancer, early detection of lung cancer is critical for improving health outcomes, and advances in robotic technology have become essential tools in early screening and ...

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 ...

BioMark Diagnostics ( ($TSE:BUX) ) has provided an announcement. BioMark Diagnostics Inc. and its research partners have been honored with the ...

Proposed collaboration aims to integrate cutting-edge AI and genomic insights to advance guideline-directed medical therapy SAN FRANCISCO--(BUSINESS WIRE)-- Viz.ai, the leader in AI-powered disease ...

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 ...

Model and clinical segmentation examples. (A) 71-year-old female with non-small cell lung cancer (NSCLC) from the internal test set. (B) 87-year-old male with NSCLC from the external test set. Both ...

Artificial intelligence helping to improve early lung cancer detection ...

Every year, approximately 2 billion chest X-rays are performed around the world. They are affordable, quick, and often used in frontline healthcare to efficiently survey for abnormalities such as ...

In A Nutshell A handheld breath sensor read eight chemicals and flagged lung cancer risk in a 67-person study. Accuracy was 85.71% using the device alone and 92.86% when paired with GC–MS in analysis.

A new study published in JCO Clinical Cancer Informatics demonstrates that machine learning models incorporating patient-reported outcomes and wearable sensor data can predict which patients with ...