Machine learning models using patient-reported outcomes, wearables, and clinical data accurately predicted urgent care visits ...
Machine learning models can help predict which patients receiving systemic therapy for non-small lung cancer are most likely ...
An artificial intelligence (AI) deep learning tool that estimates the malignancy risk of lung nodules achieved high cancer ...
Deep learning model outperformed clinical tools, cutting false positives and enhancing accuracy in CT lung cancer screening ...
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 results.
A study published in JCO Clinical Cancer Informatics demonstrates that machine learning models incorporating patient-reported ...
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 ...
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 ...