ascopubs.org

Sarcopenia identified by computed tomography (CT) imaging using a machine learning–based convolutional neural network (CNN) algorithm impacts survival in patients with newly ...

Long-term effect of machine learning–triggered behavioral nudges on serious illness communication and end-of-life outcomes among patients with cancer: A randomized clinical trial. Final results from a ...
ascopubs.org

Machine Learning Model Integrating Computed Tomography Image–Derived Radiomics and Circulating miRNAs to Predict Residual Teratoma in Metastatic Nonseminoma Testicular Cancer

This predictive model built on readily acquired clinical data provides encouraging results for the detection of residual disease. External validation and prospective studies implementing the model in ...
Business Wire

Computed Tomography Market Analysis and Forecast, 2024-2033: Opportunities with Integration with Other Imaging Modalities, & AI and Machine Learning - ResearchAndMarkets.com

DUBLIN--(BUSINESS WIRE)--The "Computed Tomography Market - A Global and Regional Analysis: Focus on Type, Technology, End User, and Country - Analysis and Forecast, 2024-2033" report has been added to ...
MedPage Today

Machine Learning Radiomics Model for Early Identification of Small-Cell Lung Cancer on Computed Tomography Scans

Small-cell lung cancer (SCLC) is the deadliest form of lung cancer, partly because of its short doubling time. Delays in imaging identification and diagnosis of nodules create a risk for stage ...
usace.army.mil

Effective procurement practices ‘an integral part’ of Army medical maintenance mission

FORT DETRICK, Md. -- When working on highly complex medical devices, the repair bills for new parts can rack up quickly. Parts for computed tomography or portable X-ray machines, for example, can soar ...