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 |
---|---|---|---|---|---|
Self-selection and decision to participate in clinical trials: evidence from screening trials | Hualong Diao | Stony Brook University | NLST | Nov 3, 2021 | NLST-845 |
CT Lung classifier | Anton Konushin | Third Opinion Platform LLC | NLST | Nov 3, 2021 | NLST-847 |
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 |
Automatic coronary artery calcium scoring calculation on non-ECG-gated chest CT with novel deep learning system | Long Jiang Zhang | Jinling Hospital, Medical School of Nanjing University | NLST | Sep 24, 2021 | NLST-839 |
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 |
survival analysis with pathological images | Yicheng Wang | Tongji University | NLST | Sep 14, 2021 | NLST-833 |
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 |
A multidimensional pulmonary nodules measurement based on centerline Centerline related structural parameters | Xianglong Gao | North Jiangsu People's Hospital | NLST | Sep 14, 2021 | NLST-829 |
Generalization of deep learning based processing pipelines for lung examinations | Pedro Rodrigues | Philips Medical Systems Technologies, Ltd | NLST | Aug 6, 2021 | NLST-828 |
Pulmonary CT imaging auxiliary diagnosis software in Thoracic CT in Patients being Evaluated for Possible Lung Cancer (AI) | Guoqing Lian | Beijing Yizhun Medical AI Technology Co. ,Ltd. | NLST | Aug 6, 2021 | NLST-827 |
Deep learning Cancer Diagnosis | Kang Li | Harbin Medical University | NLST | Aug 6, 2021 | NLST-826 |
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 |