| Clinical Lung Cancer Screening Model |
Dragos Zanchi |
Pulmonary and Sleep of Tampa Bay PL |
NLST |
Feb 14, 2024 |
NLST-1193 |
| Microsimulation model of a risk-based lung cancer screening program |
Jacopo Di Silvestre |
University of Oslo |
NLST |
Jan 26, 2024 |
NLST-1191 |
| Lung disease detection using CT scan and AI |
Vaibhav Ram |
SRM institute of science and technology |
NLST |
Jan 17, 2024 |
NLST-1190 |
| Lung Cancer Risk Analysis |
Danbir Rashid |
Leading University |
NLST |
Jan 16, 2024 |
NLST-1187 |
| The Practical Application of the Lung Cancer Risk Prediction Model 'Sybil': Replicating and Validating Study Results in Taiwan |
Tsung-Ren Huang |
National Taiwan University |
NLST |
Jan 11, 2024 |
NLST-1186 |
| AI-based prognosis and therapy response prediction from pathology images |
Iurii Tolkach |
Institute of Pathology, University Hospital Cologne |
NLST |
Jan 9, 2024 |
NLST-1185 |
| Using Contrastive Masked Video Autoencoders to detect lung cancer in high-risk individuals with low-dose CT scans |
Bryan Jiang |
STEM ADEMIA LLC |
NLST |
Jan 9, 2024 |
NLST-1183 |
| 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 |
