| Incidental Finding of Coronary Calcium (CAC) in National Lung Screening Trial participants: Its Distribution and Potential Implication |
Ilana Gareen |
School of Public Health, Brown University |
NLST |
Sep 28, 2023 |
NLST-1129 |
| Cancer risk after radiation exposure from low dose lung cancer screening |
Soon Ho Yoon |
Seoul National University Hospital |
NLST |
Sep 28, 2023 |
NLST-1127 |
| Lung cancer classification on radiology reports using Natural language processing |
Cyrille KESIKU |
University of Deusto |
NLST |
Sep 19, 2023 |
NLST-1124 |
| Reevaluating the Use of Race and Ethnicity in Medical Risk Assessments |
Sharad Goel |
Harvard University |
NLST |
Sep 5, 2023 |
NLST-1121 |
| Comparability of heterogeneity of treatment effect findings from two randomized clinical trials datasets: application of machine-learning based algorithms |
Motohiko Adomi |
Harvard T.H. Chan School of Public Health |
NLST |
Sep 5, 2023 |
NLST-1119 |
| Association between the saliva/sputum microbiome and risk of lung cancer in the National Lung Screening Trial (ACRIN 6654) |
Emily Vogtmann |
National Cancer Institute |
NLST |
Aug 17, 2023 |
NLST-1116 |
| Analysis of Time to Lung Cancer Diagnosis from Initial LDCT |
Ha Nguyen |
Guardant Health |
NLST |
Aug 17, 2023 |
NLST-1112 |
| Using AI to predict cardiovascular disease |
yuankai wang |
University of Liverpool |
NLST |
Aug 8, 2023 |
NLST-1110 |
| Automate processing multimodal Cancer imaging data for clinical validation process of AI products |
Veysel Kocaman |
Gesund AI |
NLST |
Aug 8, 2023 |
NLST-1105 |
| Patient management from lung screening to diagnosis |
Sean Denham |
Canon Medical Research Europe |
NLST |
Aug 8, 2023 |
NLST-1102 |
| 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 |
