Approved Projects
Here you can browse the complete list of projects on CDAS whose requests for data/biospecimens were approved.
| Name | Principal Investigator | Institution | Study | Date Approved | Project ID |
|---|---|---|---|---|---|
| Automated assessment of cardiovascular disease risk from CTs using deep learning | Shazia Akbar | Altis Labs, Inc. | NLST | Mar 10, 2021 | NLST-770 |
| Automated Assessment of Interstitial Lung Abnormalities | Shikha Chaganti | Siemens Healthineers | NLST | Dec 13, 2019 | NLST-616 |
| Automated assessment of multiple diagnoses and findings in NLST | Joshua Reicher | imvaria inc. | NLST | Apr 8, 2020 | NLST-655 |
| Automated classification/ detection of Incidental Findings in LCS scans | Colin Jacobs | Radboud University Medical Center | NLST | Jun 17, 2024 | NLST-1268 |
| Automated Coronary Calcium Screening from Chest CT | Ryan Chamberlain | Minnesota HealthSolutions | NLST | Oct 8, 2020 | NLST-716 |
| Automated Detection and Classification in Lung Cancer Screening | David Bates | N/A | NLST | Aug 15, 2016 | NLST-233 |
| Automated Detection of Lung Cancer From LDCT | Warren Clarida | IDx LLC | NLST | Jan 8, 2018 | NLST-385 |
| Automated Examination of CT Chests To Determine Optimal Placement of Needle Thoracostomy | Matt Strickland | University of Toronto, Harvard University | NLST | Mar 25, 2016 | NLST-201 |
| Automated extraction of chest CT derived body composition biomarkers of tissue morphology and texture. | Miranda Kirby | Toronto Metropolitan University | NLST | Jul 18, 2023 | NLST-1095 |
| Automated Feature Learning for Early Diagnosis of Lung Cancer using Low-Dose CT Scans | Andrew Berlin | Draper | NLST | Jun 5, 2018 | NLST-417 |
| Automated lung cancer detection and characterization via artificial intelligence | Jianing Pang | VoxelCloud, inc. | NLST | Dec 22, 2015 | NLST-186 |
| Automated lung diseases analysis using deep learning techniques | Peter M.A. van Ooijen | University Medical Center Groningen | NLST | Aug 13, 2019 | NLST-552 |
| Automated Lung Nodule Detection using Deep Neural Networks | Kun-Hsing Yu | President and Fellows of Harvard College | NLST | Feb 22, 2017 | NLST-286 |
| Automated Lung Segmentation for Tumor Tracking | Marwan Sati | Merge Healthcare an IBM Company | NLST | Jun 7, 2016 | NLST-197 |
| Automated Machine Learning System for Analysis and Interpretation of Lung CT images | John Pepper | National Cancer institute, Division of Cancer Prevention | NLST | Feb 14, 2024 | NLST-1194 |
| Automated Medical Diagnostic Systems | Fabien Scalzo | University of California, Los Angeles (UCLA) | PLCO | Dec 29, 2020 | PLCO-711 |
| Automated pulmonary nodule tracking – development and evaluation | Yiting Xie | Merative | NLST | Aug 29, 2022 | NLST-949 |
| Automate processing multimodal Cancer imaging data for clinical validation process of AI products | Veysel Kocaman | Gesund AI | NLST | Aug 8, 2023 | NLST-1105 |
| Automatic Abnormality Detection and Comparison between Low Dose and Regular CT | Ehsan Dehghan | IBM Research | NLST | Dec 10, 2015 | NLST-184 |
| Automatic Computer-aided Lung Cancer Diagnosis by Deep Learning | Yin Wang | Tongji University | NLST | Jul 29, 2019 | NLST-545 |