| Heterogeneity of screening effects |
Hormuzd Katki |
NCI |
NLST |
Jul 18, 2023 |
NLST-1098 |
| Development and validation of a deep learning-based method for lung cancer risk prediction in low-dose chest CT images |
Haewon Kim |
Keimyung University Dongsan Hospital |
NLST |
Jul 18, 2023 |
NLST-1097 |
| Application of Predictive Modelling Using Machine Learning Techniques to Predict Survival in Oncology |
Shanti Neff-Baro |
Amaris Consulting |
NLST |
Jul 18, 2023 |
NLST-1096 |
| Automated extraction of chest CT derived body composition biomarkers of tissue morphology and texture. |
Miranda Kirby |
Toronto Metropolitan University |
NLST |
Jul 18, 2023 |
NLST-1095 |
| 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 |
