| Automated Data Harmonization |
Mohammed Eslami |
Netrias, LLC |
NLST |
Aug 25, 2025 |
NLST-1439 |
| Foundation Models for Lung Cancer Screening and Prognostics- |
Jia Wu |
University of Texas MD Anderson Cancer Center |
NLST |
Aug 25, 2025 |
NLST-1451 |
| Endogenous Screening and Health Behaviors |
Michael Darden |
Johns Hopkins University |
NLST |
Aug 25, 2025 |
NLST-1474 |
| A multi-modal foundation model for lung cancer segmentation and risk prediction from imaging and clinical data |
Maxine Tan |
Monash University Malaysia |
NLST |
Aug 12, 2025 |
NLST-1471 |
| Validation of Artificial Intelligence solution to personalize lung cancer screening intervals |
Rasika Rajapakshe |
BC Cancer, part of the Provincial Health Services Authority |
NLST |
Aug 12, 2025 |
NLST-1458 |
| Image-based non-invasive pollutant detection for personalized lung cancer early detection |
Chengyue Wu |
The University of Texas MD Anderson Cancer Center |
NLST |
Jul 22, 2025 |
NLST-1470 |
| Estimating the effect of cancer screening on those who would be diagnosed if screened: an application of the Treatment Reactive Average Causal Effect |
Chad Hazlett |
University of California Los Angeles |
NLST |
Jul 22, 2025 |
NLST-1459 |
| Enhancing lesion segmentation algorithm to include lung nodules |
Andre Neubauer |
AGFA HealthCare NV |
NLST |
Jul 14, 2025 |
NLST-1444 |
| Cardiovascular risk from lung cancer screening images |
David Wilson |
Case Western Reserve University |
NLST |
Jul 14, 2025 |
NLST-1462 |
| Multi-Disease Prediction from LDCT: Linking Lung Cancer Screening to Cardiovascular Health |
Liang Zhao |
Emory University |
NLST |
Jul 14, 2025 |
NLST-1453 |
| Genetic and AI Multimodal Risk Model for Lung Cancer Screening Efficiency |
CHRISTOPHER AMOS |
The Regents of the University of New Mexico for its Health Science Center, specifically for its Comprehensive Cancer Center |
NLST |
Jul 11, 2025 |
NLST-1466 |
| Deep Learning-Based Lung Segmentation for Robotic Electromagnetic Navigation in the lungs |
Ron Barak |
Magnisity Ltd. |
NLST |
Jul 11, 2025 |
NLST-1436 |
| Detecting additional lung cancers on chest computed tomography (CT) using artificial intelligence: A retrospective study based on NLST dataset |
Dennis Robert |
Qure.ai Technologies Private Limited |
NLST |
Jun 2, 2025 |
NLST-1433 |
| Exploratory Data Analysis to Derive Research Questions on Lung Cancer Screening and Diagnosis |
Wolfgang Frimmel |
Johannes Kepler University Linz |
NLST |
Apr 28, 2025 |
NLST-1416 |
| Development of a Multimodal AI Model for Predicting Future Lung Cancer Risk from Chest CTs in Asymptomatic Individuals |
Hyunsuk Yoo |
Evom AI |
NLST |
Apr 21, 2025 |
NLST-1421 |
| Unraveling the Paradox: High Lung Cancer Incidence Among Asian American Women Despite Low Smoking Prevalence-A Secondary Data Analysis |
Fang Lei |
University of Minnesota Twin Cities |
NLST |
Apr 21, 2025 |
NLST-1419 |
| Data Analysis of the Lung cancer data |
Roza Sekouri |
FutureFunded SL |
NLST |
Mar 25, 2025 |
NLST-1411 |
| Enhancing Lung Nodule Detection and Characterization Using NLST Data |
Adam Harrison |
Riverain Technologies |
NLST |
Mar 25, 2025 |
NLST-1410 |
| AI-Driven Non-Invasive Biomarker Prediction for Lung Cancer Using Self-Supervised Learning on Large-Scale CT Imaging Data |
Tianyu Han |
University of Pennsylvania |
NLST |
Mar 25, 2025 |
NLST-1409 |
| A multimodal deep learning approach for future lung cancer risk prediction based on low-dose screening CT and individual risk factors |
Paolo Soda |
Università Campus Bio-Medico di Roma |
NLST |
Mar 18, 2025 |
NLST-1408 |
