| Estimating the effect of cancer screening on those who would be diagnosed if screened: an application of the Treatment Reactive Average Causal Effect |
Chad Hazlett |
University of California Los Angeles |
NLST |
Jul 22, 2025 |
NLST-1459 |
| Enhancing lesion segmentation algorithm to include lung nodules |
Andre Neubauer |
AGFA HealthCare NV |
NLST |
Jul 14, 2025 |
NLST-1444 |
| Cardiovascular risk from lung cancer screening images |
David Wilson |
Case Western Reserve University |
NLST |
Jul 14, 2025 |
NLST-1462 |
| Multi-Disease Prediction from LDCT: Linking Lung Cancer Screening to Cardiovascular Health |
Liang Zhao |
Emory University |
NLST |
Jul 14, 2025 |
NLST-1453 |
| Genetic and AI Multimodal Risk Model for Lung Cancer Screening Efficiency |
CHRISTOPHER AMOS |
The Regents of the University of New Mexico for its Health Science Center, specifically for its Comprehensive Cancer Center |
NLST |
Jul 11, 2025 |
NLST-1466 |
| Deep Learning-Based Lung Segmentation for Robotic Electromagnetic Navigation in the lungs |
Ron Barak |
Magnisity Ltd. |
NLST |
Jul 11, 2025 |
NLST-1436 |
| Detecting additional lung cancers on chest computed tomography (CT) using artificial intelligence: A retrospective study based on NLST dataset |
Dennis Robert |
Qure.ai Technologies Private Limited |
NLST |
Jun 2, 2025 |
NLST-1433 |
| Exploratory Data Analysis to Derive Research Questions on Lung Cancer Screening and Diagnosis |
Wolfgang Frimmel |
Johannes Kepler University Linz |
NLST |
Apr 28, 2025 |
NLST-1416 |
| Development of a Multimodal AI Model for Predicting Future Lung Cancer Risk from Chest CTs in Asymptomatic Individuals |
Hyunsuk Yoo |
Evom AI |
NLST |
Apr 21, 2025 |
NLST-1421 |
| Unraveling the Paradox: High Lung Cancer Incidence Among Asian American Women Despite Low Smoking Prevalence-A Secondary Data Analysis |
Fang Lei |
University of Minnesota Twin Cities |
NLST |
Apr 21, 2025 |
NLST-1419 |
| Data Analysis of the Lung cancer data |
Roza Sekouri |
FutureFunded SL |
NLST |
Mar 25, 2025 |
NLST-1411 |
| Enhancing Lung Nodule Detection and Characterization Using NLST Data |
Adam Harrison |
Riverain Technologies |
NLST |
Mar 25, 2025 |
NLST-1410 |
| AI-Driven Non-Invasive Biomarker Prediction for Lung Cancer Using Self-Supervised Learning on Large-Scale CT Imaging Data |
Tianyu Han |
University of Pennsylvania |
NLST |
Mar 25, 2025 |
NLST-1409 |
| A multimodal deep learning approach for future lung cancer risk prediction based on low-dose screening CT and individual risk factors |
Paolo Soda |
Università Campus Bio-Medico di Roma |
NLST |
Mar 18, 2025 |
NLST-1408 |
| Devel |
Yuri Ahuja |
Oatmeal Health |
NLST |
Mar 18, 2025 |
NLST-1407 |
| AI-Driven Web-Based Tool for Lung Cancer Classification and Treatment Recommendation |
Manita Tamang |
Southampton Solent University |
NLST |
Mar 12, 2025 |
NLST-1403 |
| Development of an AI based Web Application for Precision Medicine in Human lung cancer |
hajar baider |
L'ENSA (École Nationale des Sciences Appliquées) de l'Université Abdelmalek Essaadi à Tanger |
NLST |
Mar 12, 2025 |
NLST-1404 |
| PulmoScan |
abdellaoui Malek |
École supérieure privée d'ingénierie et de technologie |
NLST |
Mar 12, 2025 |
NLST-1405 |
| Use of a Single-Scan Modified Lung-RADS for Pulmonary Nodule Assessment in Resource-Limited Clinical Settings |
Saoud Arshad |
University Of Lahore |
NLST |
Mar 12, 2025 |
NLST-1401 |
| Assessing the Usefulness of AI in Lung Cancer Detection on Chest Radiographs: A Retrospective Study Using NLST Data |
Dennis Robert |
Qure.ai Technologies Private Limited |
NLST |
Mar 5, 2025 |
NLST-1400 |
