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 ...

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 ...

New technology is evolving lung cancer detection and treatment at Ascension Sacred Heart Bay in Panama City. It’s called the “Ion Robotic-assisted Bronchoscopy system” and “Endo-Bronchial Ultrasound ...

CAT scans detecting cancer is nothing new. But now, doctors are using artificial intelligence to spot cancer even sooner.

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 ...

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.

Using Natural Language Processing to Assess Goals-of-Care Conversations for Patients With Cancer We combined natural language processing and large language models with state-of-the-art machine ...

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 ...