Publications & White Papers
Computer-assisted Flagging of Never Smokers at High Risk of NSCLC in a Large US-based HMO using the LungFlag Model
- October 27, 2022
Flagging high-risk individuals with an ML model improves NSCLC early detection in a USPSTF-eligible population
- September 25, 2022
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
- July 26, 2022
Geisinger, Medial EarlySign find algorithm can detect patients at high risk for colorectal cancer
- April 4, 2022
Collaboration to Improve Colorectal Cancer Screening Using Machine Learning
- March 31, 2022
Use of ColonFlag score for prioritization of endoscopy in colorectal cancer.
- June 27, 2021
Machine Learning for Early Lung Cancer Identification Using Routine Clinical and Laboratory Data
- May 13, 2021
Informing patients that they are at high risk for serious complications of viral infection increases vaccination rates
- February 23, 2021
Validation of an Algorithm to Identify Patients at Risk for Colorectal Cancer Based on Laboratory Test and Demographic Data in Diverse, Community-Based Population
- January 17, 2021
Evaluation of a prediction model for colorectal cancer: a retrospective analysis of 2.5 million patient records
- January 12, 2021
Development and validation of a predictive model for detection of colorectal cancer in primary care by analysis of complete blood counts: a binational retrospective study
- January 12, 2021
Validation of an Algorithm to Identify Patients at Risk for Colorectal CancerBased on Laboratory Test and Demographic Data in Diverse, Community-Based Population
- November 29, 2020
Computer-assisted Flagging of Never Smokers at High Risk of NSCLC in a Large US-based HMO using the LungFlag Model
- October 27, 2022
Flagging high-risk individuals with an ML model improves NSCLC early detection in a USPSTF-eligible population
- September 25, 2022
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
- July 26, 2022
Geisinger, Medial EarlySign find algorithm can detect patients at high risk for colorectal cancer
- April 4, 2022
Collaboration to Improve Colorectal Cancer Screening Using Machine Learning
- March 31, 2022
Use of ColonFlag score for prioritization of endoscopy in colorectal cancer.
- June 27, 2021
Machine Learning for Early Lung Cancer Identification Using Routine Clinical and Laboratory Data
- May 13, 2021
Informing patients that they are at high risk for serious complications of viral infection increases vaccination rates
- February 23, 2021
Validation of an Algorithm to Identify Patients at Risk for Colorectal Cancer Based on Laboratory Test and Demographic Data in Diverse, Community-Based Population
- January 17, 2021
Evaluation of a prediction model for colorectal cancer: a retrospective analysis of 2.5 million patient records
- January 12, 2021
Development and validation of a predictive model for detection of colorectal cancer in primary care by analysis of complete blood counts: a binational retrospective study
- January 12, 2021
Validation of an Algorithm to Identify Patients at Risk for Colorectal CancerBased on Laboratory Test and Demographic Data in Diverse, Community-Based Population
- November 29, 2020
