| Predicting Lung Nodule Growth Using Deep Learning Methods |
gao dong chen |
Shan Dong University |
NLST |
Nov 5, 2024 |
NLST-1354 |
| Radiomics-Driven Predictive Lung Cancer Models |
Patrice Essien |
George Washington University |
NLST |
Nov 5, 2024 |
NLST-1347 |
| Surrogate endpoints for cancer screening trials |
Adam Brentnall |
Queen Mary University of London |
NLST |
Nov 5, 2024 |
NLST-1345 |
| Analysis of Chest X-rays Based on Deep Learning for Health Risk Assessment |
Yu Fei Huang |
China Medical University |
NLST |
Nov 5, 2024 |
NLST-1351 |
| Quantification of Interstitial Lung Abnormalities Using Data from the National Lung Screening Trial |
Hyungjin Kim |
Seoul National University Hospital |
NLST |
Nov 5, 2024 |
NLST-1350 |
| Combined model integrating pericardial fat and tumor radiomics with clinical data to classify pulmonary nodules: A multicentric analysis |
Wenjuan Huang |
Harbin medical university cancer hospital |
NLST |
Nov 5, 2024 |
NLST-1346 |
| Deep Learning-Based Coronary Calcification Risk Prediction: A Clinical Application Study Using the NLST Dataset |
Qian Tan |
South China University of Technology |
NLST |
Oct 21, 2024 |
NLST-1343 |
| Correlation of clinical information with imaging values gained from chest CTs analyzed with deep learning algorithm |
Johannes Hofmanninger |
contextflow |
NLST |
Oct 16, 2024 |
NLST-1339 |
| Real-Time Medical Device Performance Monitoring with CUSUM Control Chart |
Constantine Gatsonis |
Brown University |
NLST |
Oct 11, 2024 |
NLST-1331 |
| Utilization of neural networks to identify and predict future cancer growth with images |
Wenzhi Zhang |
Detroit Country Day School |
NLST |
Sep 30, 2024 |
NLST-1329 |
| Integrating Early Detection of Heart Disease with Lung Cancer Screening Powered by AI |
Morteza Naghavi |
HeartLung Corporation |
NLST |
Sep 19, 2024 |
NLST-1324 |
| Cloud-based Liquid-biopsy and Radiomics Platform for the Cancer Research Data Commons |
Chun-Chi Liu |
EarlyDiagnostics |
NLST |
Sep 19, 2024 |
NLST-1323 |
| Comprehensive Tissue characterization with deep learning models utilizing NLST data for chest CT analysis |
Damini Dey |
APQ Health Inc |
NLST |
Sep 19, 2024 |
NLST-1322 |
| Exploring the Relationship Between Lifestyle Factors and Early-Stage Lung Cancer Using Publicly Available U.S. Data |
Stephen (Jihao) Tao |
Minot State University |
NLST |
Sep 16, 2024 |
NLST-1321 |
| The correlation of LABA treatment and cancer incidence or prognosis of the patients with lung cancer |
Hua Gao |
Tongji University |
NLST |
Sep 11, 2024 |
NLST-1320 |
| AI-Driven Radiomic Models for Predicting Lung Cancer Risk and Disease Progression in Asbestos and Silica-Exposed Individuals: A Deep Learning Approach Integrating Clinical and Imaging Data |
Ziba Gandomkar |
University of Sydney |
NLST |
Sep 5, 2024 |
NLST-1319 |
| Lung cancer Diagnosis Using Deep Learning |
Ayomide Abe |
Sefako Makgatho health sciences university |
NLST |
Sep 5, 2024 |
NLST-1318 |
| AI Enhanced Triage in Lung Cancer Screening |
Gerardo Hermosillo Valadez |
Siemens Medical Solutions USA |
NLST |
Sep 5, 2024 |
NLST-1314 |
| Development and Validation of an Intelligent Risk Prediction Model for Lung Diseases Based on the NLST Cohort |
Chin-Chi Kuo |
China Medical University Hospital Taiwan |
NLST |
Aug 28, 2024 |
NLST-1313 |
| Application of Dynamic Prediction Models in Lung Cancer Screening: Multi-timepoint Analysis Based on NLST Landmark RCT Dataset and External Validation in Chinese Population |
ShengLin Zhao |
Chongqing University Cancer Hospital |
NLST |
Aug 28, 2024 |
NLST-1311 |
