Approved NLST Projects
Here you can browse the complete list of projects for NLST whose requests for data/biospecimens were approved.
| Name | Principal Investigator | Institution | Study | Date Approved | Project ID |
|---|---|---|---|---|---|
| Exploration of deep learning-based model's lung cancer screening capabilities. | Seungwook Yang | Samsung Electronics | NLST | Oct 3, 2019 | NLST-579 |
| Image feature extraction with deep learning for mortality risk stratification on low-dose lung computed tomography | Chang-Fu Kuo | Center for Artificial Intelligence in Medicine, Chang Gung Memorial Hospital, Taoyuan, Taiwan | NLST | Sep 26, 2019 | NLST-572 |
| A Computer Tool for Aiding in Accurate Assessment of Indeterminate Lung Nodules | Xin Meng | International Informatics Solution Laboratory LLC | NLST | Sep 26, 2019 | NLST-571 |
| A Deep Learning Model for Improved Cancer Risk Prediction in Lung Screening Low-Dose Chest Computed Tomography | Florian Fintelmann | Massachusetts General Hospital | NLST | Sep 12, 2019 | NLST-564 |
| Lung Cancer diagnosis from radiology imaging | Babu Arunachalam | Xen.ai | NLST | Sep 11, 2019 | NLST-568 |
| Predicting lung cancer recurrence with machine learning | Flavio Calmon | Harvard University | NLST | Sep 10, 2019 | NLST-567 |
| Cost-effectiveness of low dose CT scan screening for lung cancer in New Zealand | Peter Sandiford | Waitemata District Health Board | NLST | Sep 9, 2019 | NLST-566 |
| Predicting Progression of Lung Lesions on CT scans | Sendhil Mullainathan | University of Chicago | NLST | Sep 6, 2019 | NLST-560 |
| Integrative analysis to predict lung cancer patient outcome using NLST dataset | Guanghua Xiao | UT Southwestern Medical Center | NLST | Sep 5, 2019 | NLST-562 |
| PRE-THERAPY LUNG CANCER PROGNOSTIC PREDICTION IN IMAGES | Stelmo Magalhaes Barros Neto | Universidade Federal do Maranhão | NLST | Sep 5, 2019 | NLST-558 |
| Using the NLST database to develop a lung cancer malignancy prediction tool from CT and WSI data | Thomas Langø | SINTEF | NLST | Aug 22, 2019 | NLST-553 |
| Generalizing prediction of lung cancer from the NLST cohort using deep learning | Jon Steingrimsson | Brown University | NLST | Aug 22, 2019 | NLST-556 |
| Using Machine learning to find gender differences in the bone morphology of the first rib | Andreas Prescher | MOCA, Institute of Molecular and Cellular Anatomy, RWTH Aachen University | NLST | Aug 22, 2019 | NLST-554 |
| Automated lung diseases analysis using deep learning techniques | Peter M.A. van Ooijen | University Medical Center Groningen | NLST | Aug 13, 2019 | NLST-552 |
| Pulmonary nodule detection with deep learning | Ji Park | JLK-INSPECTION | NLST | Aug 9, 2019 | NLST-551 |
| 3D Visualization and segmentation of lung CT | William Daughton | Curemetrix, Inc. | NLST | Aug 7, 2019 | NLST-550 |
| Risk stratification for pulmonary nodules detected by CT imaging using plasma and imaging biomarkers | Paul E Kinahan | University of Washington | NLST | Jul 30, 2019 | NLST-544 |
| Lung Cancer Diagnosis using Artificial Intelligence | Shital Bhatt | MBIT | NLST | Jul 29, 2019 | NLST-547 |
| Correlate quantitative CT features with long-term outcomes in patients with early signs of fibrosis | Joseph Jacob | University College London | NLST | Jul 19, 2019 | NLST-543 |
| Is 6 month an appropriate follow-up interval for LungRADS category 3 cases? | Edward Patz | Duke University School of Medicine | NLST | Jul 17, 2019 | NLST-541 |