| The effect of the non cancer condition detected to the location of the cancer diagnosed |
Grace Sidhu |
Abbotsleigh |
NLST |
Jan 9, 2024 |
NLST-1181 |
| Transporting a prediction model to a new cohort with a novel resampling method |
Lei Song |
George Washington University |
NLST |
Jan 9, 2024 |
NLST-1182 |
| Enhancing lung cancer screening with low-dose CT: a comprehensive study on quantitative tools, data standardization, and reproducibility |
Stefano Diciotti |
Department of Electrical, Electronic, and Information Engineering "Guglielmo Marconi" (DEI), Alma Mater Studiorum - University of Bologna |
NLST |
Jan 2, 2024 |
NLST-1175 |
| Integrating NLST Data with InferRead CT Lung AI for Collaborative Learning on Collective Minds Radiology Platform |
Swati Vara |
Infervision UK LTD |
NLST |
Jan 2, 2024 |
NLST-1174 |
| Identifying LDCT imaging features associated with second primary lung cancer risk among lung cancer patients |
Summer Han |
Stanford University School of Medicine |
NLST |
Dec 18, 2023 |
NLST-1171 |
| Applying deep learning models to predict nodal metastasis from pathology imaging |
Sanjay Aneja |
Yale School of Medicine |
NLST |
Dec 11, 2023 |
NLST-1170 |
| Develop generative AI models to enhance lung image processing for improved downstream clinical analysis |
kibrom girum |
Institut Curie |
NLST |
Dec 4, 2023 |
NLST-1164 |
| Development of biomarkers of aging and health outcomes in chest X-ray images using deep learning |
Yasuhito Mitsuyama |
Osaka Metropolitan University |
NLST |
Dec 4, 2023 |
NLST-1108 |
| Prediction of clinical events by deep learning based on CT scan and anapath slide |
Tanguy Perennec |
Institut de Cancérologie de l'Ouest |
NLST |
Nov 13, 2023 |
NLST-1157 |
| Early Body Composition Adaptations in Lung Cancer Patients |
Michael Toth |
University of Vermont |
NLST |
Oct 31, 2023 |
NLST-1152 |
| Advancing Lung Cancer Detection with AI: Screening Models and Risk Factor Analysis |
IVAN MACIA |
Fundación Centro de Tecnologías de Interacción Visual y Comunicaciones - Vicomtech |
NLST |
Oct 31, 2023 |
NLST-1149 |
| Causal Estimators in Meta-analysis with Missing Data |
Ruofan Bie |
Brown University |
NLST |
Oct 24, 2023 |
NLST-1146 |
| Risk Profile Assessment to Aid in Patient Selection Criteria for a Novel Lung Tissue Excision Tool in Lung Cancer Diagnosis and Intervention |
Lance Black |
Prana Thoracic |
NLST |
Oct 19, 2023 |
NLST-1142 |
| Cancer Health Equity in Context |
Melody Schiaffino |
University of California San Diego |
NLST |
Oct 16, 2023 |
NLST-1138 |
| Advancing Equity in Lung Cancer Screening Referrals: A Focus on Asian, Native, Alaskan, Hawaiian, and Pacific Islander Communities |
Amanda McCoy |
Lincoln Memorial University Debusk College of Osteopathic Medicine |
NLST |
Oct 10, 2023 |
NLST-1136 |
| HANSE POST |
Jens Vogel-Clausen |
Hannover Medical School |
NLST |
Oct 10, 2023 |
NLST-1135 |
| Development of lung cancer risk scores for determination of risk adapted screening intervals |
Rudolf Kaaks |
German Cancer Research Center (DKFZ) |
NLST |
Oct 10, 2023 |
NLST-1134 |
| Addressing equity in lung cancer early detection through identification of high risk clinical and radiographic features in minority and disadvantaged patients. |
Ameen Salahudeen |
The Board of Trustees of the University of Illinois on behalf of The University of Illinois at Chicago. |
NLST |
Oct 3, 2023 |
NLST-1125 |
| Development and validation of prognostic models of lung cancer following low-dose computed tomographic screening |
Fergus Imrie |
University of Cambridge |
NLST |
Oct 3, 2023 |
NLST-1132 |
| Lung Cancer Research |
Md. Sultan Moheuddin |
East West University |
NLST |
Oct 3, 2023 |
NLST-1131 |
