| Developing automated algorithms for detection of lung pathology |
Lily Peng |
Google LLC |
NLST |
Apr 25, 2016 |
NLST-204 |
| Developing automated algorithms for detection of lung pathology |
Lily Peng |
Google LLC |
PLCO |
Apr 8, 2016 |
PLCO-204 |
| Developing polygenic risk models for complex traits and diseases |
Jianxin Shi |
NCI |
PLCO |
Jun 7, 2024 |
PLCO-1577 |
| Development and application of an estrogen related dietary pattern to predict postmenopausal breast cancer. |
Susan Steck |
University of South Carolina, Department of Epidemiology and Biostatistics, Cancer Prevention and Control Program |
PLCO |
Mar 25, 2016 |
PLCO-193 |
| Development and cost analysis of a lung nodule management strategy combining artificial intelligence and Lung-RADS for baseline lung cancer screening |
Paul Babyn |
University of Saskatchewan |
NLST |
Oct 22, 2020 |
NLST-722 |
| Development and evaluation of algorithms for the lung disease diagnostics/management systems |
Yoshiro Kitamura |
FUJIFILM corporation |
NLST |
Dec 26, 2019 |
NLST-622 |
| Development and evaluation of a retrieval system for a medical image database |
Georg Langs |
ContextFlow GmbH |
NLST |
Oct 27, 2016 |
NLST-253 |
| Development and evaluation of deep-learning algorithm for the classification of lung nodules detected on CT-Scan |
Cecile Dupont |
MD Start |
NLST |
Jun 26, 2020 |
NLST-683 |
| Development and external validation of a lung nodule management system |
Hyunho Park |
VUNO Inc. |
NLST |
Jun 19, 2019 |
NLST-527 |
| Development and Investigation of Class Imbalanced Data Methods for Lung Cancer Incidence Prediction Using Clinical and Radiomics Data |
Matloob Khushi |
The University of Sydney |
NLST |
Feb 24, 2020 |
NLST-641 |
| Development and validation of a candidate selection model for lung cancer screening and a nodule risk prediction model using CT scans |
Hyungjin Kim |
Seoul National University Hospital |
NLST |
Jul 12, 2019 |
NLST-538 |
| Development and validation of a candidate selection model for lung cancer screening using low-dose CT |
Hyungjin Kim |
Seoul National University Hospital |
PLCO |
Jul 11, 2019 |
PLCO-492 |
| Development and validation of a clinical decision support system for diagnosis of solitary pulmonary nodules using image-based features and clinical information |
Yuechen Qian |
Philips Research North America |
NLST |
Feb 26, 2014 |
NLST-52 |
| Development and validation of a computer-aided diagnosis system for lung cancer screening |
CHANG MO NAM |
monitor corporation |
NLST |
Oct 3, 2019 |
NLST-580 |
| Development and validation of a CT-based prognostication model for diffuse lung parenchymal diseases |
Hyungjin Kim |
Seoul National University Hospital |
NLST |
May 30, 2023 |
NLST-1061 |
| Development and validation of a deep learning-based method for lung cancer risk prediction in low-dose chest CT images |
Haewon Kim |
Keimyung University Dongsan Hospital |
NLST |
Jul 18, 2023 |
NLST-1097 |
| Development and Validation of a Head and Neck Cancer Risk Prediction Model |
John Cramer |
Karmanos Cancer Institute |
PLCO |
Apr 5, 2021 |
PLCO-760 |
| Development and validation of AI-based lung nodule management and lung analysis software |
Hee Jun Park |
CORELINESOFT |
NLST |
Dec 26, 2019 |
NLST-623 |
| Development and validation of a lung cancer risk prediction model |
Martin Tammemagi |
Henry Ford Health System |
NLST |
Oct 25, 2011 |
201110-0018 |
| Development and Validation of a Machine Learning Model for Predicting Sentinel Lymph Node Metastasis in Melanoma Patients |
Diego Mendez |
Hospital El Pino |
PLCO |
Mar 18, 2025 |
PLCO-1855 |
