| Developing scalable machine learning-based approaches to classifying significant incidental findings in patients undergoing lung cancer screening |
Ilana Gareen |
Brown University |
NLST |
Jul 20, 2026 |
NLST-1517 |
| Wildfire Smoke Exposure and Cancer-Related Outcomes in the NLST Cohort |
Shuguang Leng |
University of New Mexico |
NLST |
Jul 14, 2026 |
NLST-1518 |
| Vision–Language Learning for Generalizable Pulmonary Nodule Characterization in Low-Dose CT Screening |
Benjamin Wild |
Berlin Institute of Health at Charité |
NLST |
Jul 14, 2026 |
NLST-1521 |
| AEGIS-Lung — Deep-Learning Development and Internal Validation of an Integrated Lung-Cancer Risk Model in the NLST Cohort |
Aneel Paulus |
West Eastern Health |
NLST |
Jul 14, 2026 |
NLST-1522 |
| NeuroAI-Lung: Longitudinal Risk Stratification Using NLST Low-Dose CT Data |
Richard Tran |
Trove-AI |
NLST |
Jul 14, 2026 |
NLST-1519 |
| Impact of deep learning lung cancer risk models on clinical decisions with blood-based diagnostics |
Michael Kammer |
Biodesix, inc |
NLST |
Jun 8, 2026 |
NLST-1515 |
| Scalable and Reproducible Deep Learning Strategies for Lung Cancer Screening Imaging |
Stefano Diciotti |
Alma Mater Studiorum - Department DEI |
NLST |
Jun 1, 2026 |
NLST-1514 |
| Deep Learning to Improve Screening of Interstitial Lung Diseases (NLST-1505 continued) |
Charles Hatt |
IMBIO, a 4D Medical Company |
NLST |
Jun 1, 2026 |
NLST-1506 |
| Heterogeneity of screening effects (Original Project: NLST-1098) |
Hormuzd Katki |
American Cancer Society |
NLST |
May 29, 2026 |
NLST-1509 |
| Studies to use extended NLST follow-up data (Original Project: NLST-626) |
Hormuzd Katki |
American Cancer Society |
NLST |
May 11, 2026 |
NLST-1508 |
| Validation of the Michigan General Cancer Screening Model (M-GCSM) Using the National Lung Screening Trial Dataset |
Tanner Caverly |
Department of Veterans Affairs |
NLST |
May 11, 2026 |
NLST-1513 |
| Using Surrogate Endpoints to Improve the Design and Analysis of Randomized Screening Trials |
Yingqi Zhao |
Fred Hutchinson Cancer Center |
NLST |
May 4, 2026 |
NLST-1511 |
| Foundation LDCT model for lung cancer prediction |
Daan van den Broek |
Netherlands Cancer Institute |
NLST |
May 4, 2026 |
NLST-1512 |
| Deep Learning to Improve Screening of Interstitial Lung Diseases |
Asif Abdul Hameed |
Henry Ford Health |
NLST |
Apr 28, 2026 |
NLST-1505 |
| Estimating the lung cancer mortality benefit of screening within lung cancer risk strata in the National Lung Screening Trial (Original Project: 201204-0017) |
Hormuzd Katki |
American Cancer Society |
NLST |
Apr 28, 2026 |
NLST-1507 |
| Treatment-Conditioned World Models for Lung Cancer Progression Prediction Using Longitudinal Low-Dose CT Imaging |
Luca Pegolotti |
Nucleo Research, Inc. |
NLST |
Apr 20, 2026 |
NLST-1502 |
| Integrating Early Detection of Heart Disease with Lung Cancer Powered by AI-CXR |
Morteza Naghavi |
HeartLung Technologies |
NLST |
Mar 31, 2026 |
NLST-1501 |
| Identifying Early ILD using Quantitative CT (QCT) Thresholds |
Jennifer Wang |
University of Michigan |
NLST |
Mar 23, 2026 |
NLST-1499 |
| Lung cancer incidence following negative biopsy |
Paul Pinsky |
NCI |
NLST |
Mar 16, 2026 |
NLST-1498 |
| Standardization of Imaging Interpretation for Early Lung Cancer Detection, Intelligent Learning Platforms, and Public Education Outreach |
Dr. Yeun-Chung Chang |
The Radiological Society of the Republic of China (RSROC) |
NLST |
Feb 20, 2026 |
NLST-1493 |
