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 |
|---|---|---|---|---|---|
| Accurate malignant risk estimation of pulmonary nodules using deep learning | Colin Jacobs | Radboud University Medical Center | NLST | Oct 19, 2021 | NLST-846 |
| Evaluation of Bach lung cancer risk prediction model in a lung screening cohort | Peter Bach | Delfi Diagnostics | NLST | Sep 28, 2021 | NLST-842 |
| Optimizing Lung Cancer Screening Nodule Evaluation | Mark Hammer | Brigham and Women's Hospital | NLST | Sep 24, 2021 | NLST-838 |
| Visual assessment of emphysema on low dose chest CT and risk of lung cancer | Jihang Kim | Seoul National University Bundang Hospital | NLST | Sep 14, 2021 | NLST-836 |
| Opportunistic AI - detection of spinal anomalies indicative of osteoporosis on routine imaging | Ronen Gordon | Zebra Medical Vision Ltd. | NLST | Sep 14, 2021 | NLST-834 |
| Deep Learning Pulmonary Nodule Classification | Yitzi Pfeffer | IMedis-AI LTD. | NLST | Sep 14, 2021 | NLST-832 |
| Lung Nodule Detection System | Rudolfs Latisenko | Thirona BV | NLST | Sep 14, 2021 | NLST-831 |
| Lung Screening Using Data Synthesis and Explainable Artificial Intelligence | Matthew Hamilton | Memorial University of Newfoundland | NLST | Sep 14, 2021 | NLST-830 |
| Generalization of deep learning based processing pipelines for lung examinations | Pedro Rodrigues | Philips Medical Systems Technologies, Ltd | NLST | Aug 6, 2021 | NLST-828 |
| Invasive Procedures and Associated Complications Following Initial Lung Cancer Screening in a National Cohort of Veterans. | Eduardo Nunez | Boston University | NLST | Jul 26, 2021 | NLST-822 |
| Cancer Detec - Lung Cancer Diagnosis Support System | Nelson Faria | Polytechnic Institute of Cávado and Ave | NLST | Jul 22, 2021 | NLST-818 |
| Deep learning based assessment of vascular aging to improve prognostication in patients at risk for lung cancer | Jakob Weiss | University Hospital Freiburg | NLST | Jul 15, 2021 | NLST-816 |
| Early detection of lung cancer by excavating the bit planes of a LDCT scan | Swapan Chakrabarti | Immersion 3D Plus, LLC. | NLST | Jul 15, 2021 | NLST-815 |
| Modeling lung cancer risk with Gradient-Boosted Decision-Trees | Jean-Emmanuel Bibault | INSERM UMR 1138 Team 22: Information Sciences to support Personalized Medicine, Cordeliers Research Centre, Paris Descartes University, Paris, France | NLST | Jul 15, 2021 | NLST-814 |
| Deep Learning systems for detection of nodules and for simulation of new nodule training data. | Keelin Murphy | Radboud University Medical Center | NLST | Jul 2, 2021 | NLST-812 |
| Development and validation of prognostic models of lung cancer | Thomas Callender | University College London | NLST | Jun 21, 2021 | NLST-806 |
| Evaluation of a deep-learning algorithm to assist in the detection of features suggestive of lung cancer on chest x-rays. | Gaetan Dissez | behold.ai | NLST | Jun 14, 2021 | NLST-799 |
| Development of diagnostic support software to aid clinical decision-making for lung disease | Michael Calhoun | Precision Medical Ventures, Inc. | NLST | Jun 14, 2021 | NLST-800 |
| Self-Supervised Multimodal Medical Image Analysis | Cristian Simionescu | Alexandru Ioan Cuza University | NLST | May 21, 2021 | NLST-796 |
| Identifying histological features of lung cancer using deep learning | Jennifer Beane | Trustees of Boston University | NLST | May 11, 2021 | NLST-794 |