| Calibration of a microsimulation model of lung cancer natural history in Australia |
Marianne Weber |
The University of Sydney |
NLST |
Feb 4, 2026 |
NLST-1495 |
| Evaluating lung cancer screening by competing mortality |
Rebecca Landy |
American Cancer Society |
NLST |
Jan 29, 2026 |
NLST-1496 |
| Identifying histological features of lung cancer using deep learning |
Jennifer Beane |
Trustees of Boston University |
NLST |
Jan 26, 2026 |
NLST-1494 |
| Prevalence and Prognostic Significance of Dendriform Pulmonary Ossification in the National Lung Screening Trial |
Kyung Hee Lee |
University of Pittsburgh |
NLST |
Jan 26, 2026 |
NLST-1491 |
| Foundation models for precision non-small cell lung cancer treatment |
Mitchell Chen |
Imperial College London |
NLST |
Jan 26, 2026 |
NLST-1490 |
| Learning about the effectiveness of lung cancer screening in real-world target populations |
Sarah Robertson |
Dartmouth College |
NLST |
Dec 22, 2025 |
NLST-1488 |
| Database Composition and Knowledge Generation for Image-Based Diagnostic Support Systems Medical, Considering Big Data |
Agma Juci Machado Traina |
Institute of Mathematical and Computer Sciences, University of Sao Paulo |
NLST |
Dec 22, 2025 |
NLST-1483 |
| Validation of multimodal deep learning models for the prediction of risks of lung cancer and adverse cardiovascular events using chest radiographs and clinical data |
EUIJIN HWANG |
Seoul National University Hospital |
NLST |
Dec 22, 2025 |
NLST-1487 |
| Evaluating net benefit of individualized screening for lung cancer to identify those who benefits most from it |
Mohsen Sadatsafavi |
The University of British Columbia |
NLST |
Dec 16, 2025 |
NLST-1486 |
| External Validation of the LIONS-PREY score with the NLST data |
Luca Salhoefer |
University Hospital Essen |
NLST |
Dec 2, 2025 |
NLST-1484 |
| Janus |
Nicolai Krekiehn |
Section Biomedical Imaging (SBMI), Intelligent Imaging Lab (i²Lab), Department of Radiology and Neuroradiology, University Hospital Schleswig-Holstein (UKSH), Kiel University |
NLST |
Dec 2, 2025 |
NLST-1480 |
| Validation of Self-Reported Lung Cancer Diagnoses in the National Lung Screening Trial (NLST): A Retrospective Analysis of Participant Annual Surveys |
Peter Bach |
Delfi Diagnostics, Inc. |
NLST |
Nov 13, 2025 |
NLST-1479 |
| Replication and Comparative Evaluation of Deep Learning Models (Sybil and M3FM) for Lung Cancer Risk Prediction Using NLST Low-Dose CT Scans |
Aristotelis Tsirigos |
NYU Langone Health |
NLST |
Nov 13, 2025 |
NLST-1481 |
| Development and Validation of Cancer Risk Prediction Models Using Publicly Available Cohort Data |
Luke Stetson |
PreOncology |
NLST |
Nov 13, 2025 |
NLST-1477 |
| Comparison of Recurrent Neural Network (RNN) versus Survival Analysis for Lung Cancer Risk Prediction |
Li Cheung |
National Cancer Institute |
NLST |
Sep 29, 2025 |
NLST-1478 |
| Enhancing lesion segmentation algorithm to include lung nodules |
Maria Wimmer |
VRVis GmbH |
NLST |
Sep 24, 2025 |
NLST-1465 |
| Irish MOdelling of Diagnosis-related And Lead-time Overdiagnosis in Lung Cancer Screening (I-MODAL-Lung) |
Patrick Redmond |
Royal College of Surgeons in Ireland |
NLST |
Sep 24, 2025 |
NLST-1442 |
| Early-Stage Inference on Cancer Survival Rates in the NLST Trial |
Jeffrey T. Leek |
Fred Hutchinson Cancer Center |
NLST |
Sep 9, 2025 |
NLST-1468 |
| 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 |
