Publications & White Papers

Screening Methodologies to Select High Risk Individuals: LungFlag™ Performance in Estonian Lung Cancer Screening Pilot. Presented at ESMO 2024

Validation of LungFlag™ Prediction Model Using Electronic Medical Records (EMR) on Taiwan Data Presented at the World Conference on Lung Cancer

Clinical and Financial Impact of a Machine Learning Powered Screening Program for Abdominal Aortic Aneurysms

Budget impact model of LungFlag™, a predictive risk model for lung cancer screening

Development and Validation of a Machine-learning Prediction Model to Improve Abdominal Aortic Aneurysm Screening

Use of the Predictive Risk Model, LungFlag™ for Lung Cancer Screening in a Spanish Reference Center: A Cost-effectiveness Analysis.

Cost-effectiveness of a machine learning risk prediction model (LungFlag™) in the selection of high-risk individuals for non-small cell lung cancer screening in Spain

Improved Efficiency with LungFlag™ vs. Opportunistic Selection in a Theoretical East Asian Lung Cancer Screening Program

LungFlag™, a Machine-Learning (ML) Personalized Tool for Assessing Pulmonary Complications a Community Setting, Demonstrates Comparable Performance in Flagging Non-Small Cell Lung Cancer.

Computer-assisted Flagging of Never Smokers at High Risk of NSCLC in a Large US-based HMO using the LungFlag Model

Flagging high-risk individuals with an ML model improves NSCLC early detection in a USPSTF-eligible population

Prediction of influenza complications: Development and validation of a machine learning prediction model to improve and expand the identification of vaccine-hesitant patients at risk of severe influenza complications

Screening Methodologies to Select High Risk Individuals: LungFlag™ Performance in Estonian Lung Cancer Screening Pilot. Presented at ESMO 2024

Validation of LungFlag™ Prediction Model Using Electronic Medical Records (EMR) on Taiwan Data Presented at the World Conference on Lung Cancer

Clinical and Financial Impact of a Machine Learning Powered Screening Program for Abdominal Aortic Aneurysms

Budget impact model of LungFlag™, a predictive risk model for lung cancer screening

Development and Validation of a Machine-learning Prediction Model to Improve Abdominal Aortic Aneurysm Screening

Use of the Predictive Risk Model, LungFlag™ for Lung Cancer Screening in a Spanish Reference Center: A Cost-effectiveness Analysis.

Cost-effectiveness of a machine learning risk prediction model (LungFlag™) in the selection of high-risk individuals for non-small cell lung cancer screening in Spain

Improved Efficiency with LungFlag™ vs. Opportunistic Selection in a Theoretical East Asian Lung Cancer Screening Program

LungFlag™, a Machine-Learning (ML) Personalized Tool for Assessing Pulmonary Complications a Community Setting, Demonstrates Comparable Performance in Flagging Non-Small Cell Lung Cancer.

Computer-assisted Flagging of Never Smokers at High Risk of NSCLC in a Large US-based HMO using the LungFlag Model

Flagging high-risk individuals with an ML model improves NSCLC early detection in a USPSTF-eligible population

Prediction of influenza complications: Development and validation of a machine learning prediction model to improve and expand the identification of vaccine-hesitant patients at risk of severe influenza complications