Methodologies for modeling clinical performance and utilities of a cancer screening test using NLST trial as an example |
James Dai |
GRAIL LLC |
NLST |
Jul 3, 2023 |
NLST-1090 |
Improving lung cancer risk prediction with artificial intelligence |
Chiara Paganelli |
Politecnico di Milano |
NLST |
Jun 15, 2023 |
NLST-1087 |
Development of a Nodule Risk Calculator using NLST Data |
Christopher Towe |
University Hospitals |
NLST |
Jun 15, 2023 |
NLST-1086 |
Explainable multi-label prediction of respiratory conditions in CTs with multi-task Dirichlet-prior VAE |
Rachael Harkness |
University of Leeds |
NLST |
Jun 6, 2023 |
NLST-1084 |
Development and validation of a report generation model for the low-dose chest CT scans |
Hyungjin Kim |
Seoul National University Hospital |
NLST |
Jun 2, 2023 |
NLST-1081 |
Multimodal AI Algorithms for Diagnosis and Prognosis in Lung Cancer |
Daniel Rückert |
Technical University of Munich (TUM) |
NLST |
Jun 2, 2023 |
NLST-1075 |
Personalizing screening intervals for lung cancer screening using artificial intelligence |
Scott Adams |
University of Saskatchewan |
NLST |
May 30, 2023 |
NLST-1064 |
Exploring the generalization ability of chest XRay and CT pathology detection algorithms |
Bogdan Bercean |
S.C. Mindfully Technologies S.R.L. |
NLST |
May 30, 2023 |
NLST-1063 |
Development and validation of a CT-based prognostication model for diffuse lung parenchymal diseases |
Hyungjin Kim |
Seoul National University Hospital |
NLST |
May 30, 2023 |
NLST-1061 |
Extended follow-up NLST data to support provision of biosample data to requesters |
Ilana Gareen |
Brown University |
NLST |
May 30, 2023 |
NLST-1062 |
Image quality assessment of digitized chest X ray images and feature characterization of "Chest X-ray Age" |
Tomoki Nakamizo |
Radiation Effects Research Foundation |
NLST |
May 30, 2023 |
NLST-1071 |
Develop a ChatGPT-style system for CT scan analysis |
Neet Patel |
University of California San Diego |
NLST |
May 30, 2023 |
NLST-1073 |
Evaluate Artera’s Deep Learning clinical-histologic system as a prognostic classifier for lung cancer patients |
Erin Stewart |
Artera Inc |
NLST |
May 30, 2023 |
NLST-1060 |
Developing an Accurate and Interpretable Risk-Based Model for Lung Cancer Screening |
Yi Luo |
Moffitt Cancer Center |
NLST |
Apr 19, 2023 |
NLST-1050 |
Retrospective Evaluation of CT Based Biomarkers on Cancer and Non-Cancer Related Patient Outcomes |
Steven Rothenberg |
The University of Alabama at Birmingham |
NLST |
Apr 13, 2023 |
NLST-1044 |
AI-based tools to support decision-making in lung cancer screening |
Johanna Topalis |
Department of Radiology, University Hospital, LMU Munich |
NLST |
Mar 28, 2023 |
NLST-1034 |
Causal Counterfactual visualisation for human causal decision making – A case study in healthcare |
xujiong ye |
University of Lincoln |
NLST |
Mar 28, 2023 |
NLST-1033 |
The Relationship between lung cancer and regular screenings |
Abbie Anderson |
Des Moines Area Community College |
NLST |
Mar 28, 2023 |
NLST-1031 |
Imaging Biomarkers and Lung Cancer Development and Mortality |
DAVID WILSON |
University of pittsburgh |
NLST |
Mar 21, 2023 |
NLST-1025 |
Quantifying cancer screening overdiagnosis using synthetic excess incidence |
Stuart Baker |
National Cancer Institute |
NLST |
Mar 20, 2023 |
NLST-1026 |