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 |
|---|---|---|---|---|---|
| A semi-supervised deep clustering framework for personalized post-test risk-stratification in lung cancer screening | Stefano Diciotti | Department of Electrical, Electronic, and Information Engineering "Guglielmo Marconi" (DEI), Alma Mater Studiorum - University of Bologna | NLST | Aug 2, 2022 | NLST-942 |
| Microsimulation model for lung cancer screening in New Zealand | Nokuthaba Sibanda | Victoria University of Wellington | NLST | Jul 14, 2022 | NLST-935 |
| Computed tomographic detection of necrotic lung nodules | TIMOTHY CLOUSER | Quantitative Imaging Solutions, LLC | NLST | Jul 12, 2022 | NLST-930 |
| AI Information Design in Radiological Decision Making | Pranav Rajpurkar | Harvard Medical School | NLST | Jun 22, 2022 | NLST-926 |
| Evaluating Predictors of Improved Outcomes Among Patients Undergoing Surgery for Lung Cancer | Chi-Fu Jeffrey Yang | Massachusetts General Hospital | NLST | Jun 21, 2022 | NLST-922 |
| AI Empowered CT guided Robot Assisted Needle Targeting | SIANG LEONG | NDR MEDICAL TECHNOLOGY PRIVATE LIMITED | NLST | Jun 21, 2022 | NLST-923 |
| Machine Learning to identify airway disease | Amir Sharafkhaneh | Baylor College of Medicine | NLST | Jun 13, 2022 | NLST-921 |
| Machine-learning-based recurrence prediction in lung cancer | Pawel Badura | Silesian University of Technology | NLST | May 23, 2022 | NLST-916 |
| Applying deep learning image segmentation to improve coronary artery calcium scoring for cardiovascular outcome prediction | Sanjay Aneja | Yale School of Medicine | NLST | Apr 25, 2022 | NLST-911 |
| Cancer Types Comparison and Analysis of them (statistical) | Nikos Letsios | Mediterranean College (Collaboration with University of Derby) | NLST | Apr 8, 2022 | NLST-907 |
| Calibration of a microsimulation model of lung cancer natural history in Australia | Marianne Weber | Cancer Council New South Wales | NLST | Apr 4, 2022 | NLST-906 |
| Development of Deep Learning algortihms for the automated Calcium Scoring identification from radiological studies | Fernando Martin | WellSpan Health | NLST | Apr 4, 2022 | NLST-905 |
| Lung Nodule Detection | Asma Alkhaldi | Saudi Data and Artificial Intelligence Authority (SDAIA) | NLST | Mar 30, 2022 | NLST-896 |
| X-ray Dissectography Improves Lung Nodule Detection | Chuang Niu | Rensselaer Polytechnic Institute | NLST | Mar 30, 2022 | NLST-900 |
| Validation of a survival prediction model in participants with lung cancer | Hyungjin Kim | Seoul National University Hospital | NLST | Mar 24, 2022 | NLST-899 |
| Emphysema quantification using lung cancer screening CT scans: diagnostic and prognostic value | Hyungjin Kim | Seoul National University Hospital | NLST | Mar 24, 2022 | NLST-898 |
| Deep based cancer/nodule detection project | WenJia Song | University of Queensland | NLST | Mar 22, 2022 | NLST-894 |
| Identification of actionable lung nodules with low-dose computed tomography screening: Characterizing the effects on observer performance of a personalized Artificial Intelligence feedback | Jessica Sieren | University of Iowa | NLST | Mar 21, 2022 | NLST-895 |
| Apply new statistical methods to assess screening efficacy in NLST trial addressing overdiagnosis | ying huang | Fred Hutchinson Cancer Research Center | NLST | Mar 7, 2022 | NLST-891 |
| Thyroid carcinoma relation with ovaries using Machine Learning Techniques | Geetanjali Rave | Ramaiah Institute of Technology | NLST | Mar 2, 2022 | NLST-890 |