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 |
|---|---|---|---|---|---|
| Implementation of Machine Learning Algorithm for Computer-aided Diagnosis of Indeterminate Pulmonary Lesions on Low-dose CT Imaging | Jerome Liang | Stony Brook Medicine | NLST | Jul 22, 2024 | NLST-1294 |
| Predicting 5-year risk of lung cancer using LDCT images | Shu Jiang | Washington University School of Medicine | NLST | Jul 15, 2024 | NLST-1293 |
| Grand Challenges on the development of AI algorithms for lung cancer screening. | Colin Jacobs | Radboud University Medical Center | NLST | Jul 8, 2024 | NLST-1282 |
| Development and validation of risk prediction models for lung cancer for the ENGAGE framework | Iakovos Toumazis | The University of Texas MD Anderson Cancer Center | NLST | Jul 8, 2024 | NLST-1275 |
| Validation of the deep learning models on NLST data (Chest radiographs) | yoona hwang | VUNO Inc. | NLST | Jul 8, 2024 | NLST-1274 |
| SEGMENTATION AND CLASSIFICATION OF LUNG CANCER USING CNN MODELS | Ridwanullah Alabi | Kwara State University | NLST | Jun 24, 2024 | NLST-1277 |
| AI-Enhanced Exploration of Lung Cancer Risk Factors | Antonio Jesus Diaz Honrubia | Universidad Politécnica de Madrid | NLST | Jun 17, 2024 | NLST-1273 |
| SynapticEdge: Deep learning-based diagnostic tool for lung cancer pathology images | Oke Dimas Asmara | University of Groningen | NLST | Jun 17, 2024 | NLST-1272 |
| AI-Enhanced Lung Cancer Risk Prediction and Nodule Detection | Mohammad Monir Uddin | North South University | NLST | Jun 17, 2024 | NLST-1270 |
| Design and development of an AI algorithm to predict recurrence and treatment response in NSCLC patients from CT and pathology images | Raffaella Massafra | Istituto Tumori "Giovanni Paolo II" I.R.C.C.S. | NLST | Jun 17, 2024 | NLST-1269 |
| Automated classification/ detection of Incidental Findings in LCS scans | Colin Jacobs | Radboud University Medical Center | NLST | Jun 17, 2024 | NLST-1268 |
| Investigating Potential of Ethnicity Information Embedded in Medical Images | Rasika Rajapakshe | BC Cancer, part of the Provincial Health Services Authority | NLST | Jun 17, 2024 | NLST-1264 |
| Analyzing the Utility of Smoking Cessation Requirements in the Morbidity and Mortality of Current and Former Smokers Undergoing Lung Resection | Robert Van Haren | University of Cincinnati Medical Center | NLST | Jun 17, 2024 | NLST-1262 |
| AI-based multi-dimensional characterization of pulmonary nodules to improve lung cancer screening | Francesco Sforazzini | Siena Imaging SRL | NLST | May 29, 2024 | NLST-1257 |
| Predicting mortality risk using cardiac LDCT regions | chen yingchi | National Yang Ming Chiao Tung University | NLST | May 16, 2024 | NLST-1255 |
| Using foundation model for cardiovascular disease detection. | Xiaofeng Yang | Emory University | NLST | May 16, 2024 | NLST-1249 |
| Nodule risk assessment | Scott Morris | Maverix Medical | NLST | May 16, 2024 | NLST-1252 |
| Underlying risk of developing and dying from lung cancer | Louise Henderson | University of North Carolina at Chapel Hill | NLST | May 16, 2024 | NLST-1248 |
| Comparing Non-Malignancy Rate Definitions Utilizing the NLST Cohort | Christopher Caruso | University of Pennsylvania | NLST | May 16, 2024 | NLST-1245 |
| 5DCT Radiation Oncology | RICKY SAVJANI | University of California Los Angeles | NLST | Apr 29, 2024 | NLST-1240 |