AI-based deep learning models can detect interstitial lung disease from lung ultrasound images in patients with systemic ...
A new robotic procedure is transforming how doctors detect and treat lung cancer, helping catch it earlier and improve ...
An artificial intelligence (AI) model developed by researchers at The University of Texas MD Anderson Cancer Center ...
A new lung detection machine at CHRISTUS St. Frances Cabrini Hospital is helping doctors identify lung issues earlier.
A biology-guided artificial intelligence model applied to routine pathology slides accurately predicted outcomes and response ...
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 ...
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 ...
Survival outcomes in non-small cell lung cancer: Real-world analysis of immunotherapy era vs pre-immunotherapy era, with insights into treatment settings, racial disparities, and socioeconomic impacts ...
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 ...
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