| Construction and evaluation of an intelligent diagnosis model for lung cancer based on multi-round low-dose CT images |
Qianyun Jin |
Tianjin medical University Cancer Institute and Hospital |
NLST |
Jul 22, 2024 |
NLST-1296 |
| Predicting 5-year risk of lung cancer using LDCT images |
Shu Jiang |
Washington University School of Medicine |
NLST |
Jul 15, 2024 |
NLST-1293 |
| Validation of an AI-powered IASLC grading system for lung adenocarcinoma |
Shuoyu Xu |
Bio-totem Pte Ltd |
NLST |
Jul 8, 2024 |
NLST-1290 |
| Early Diagnosis of Lung Cancer Based on Multimodal Data |
qifan huang |
Wuhan University of Technology |
NLST |
Jul 8, 2024 |
NLST-1276 |
| A Patient Home Lung Disease Self Check System Using Datasets and Artificial Intelligence |
Bao Yuanjin |
Hangzhou University of Electronic Science and Technology |
NLST |
Jul 8, 2024 |
NLST-1281 |
| Validation of Diameter Thresholds for Pure Ground-Glass Pulmonary Nodules in Low-Dose CT Lung Cancer Screening: A Comparative Study with the Chinese Large-Scale Screening Project Using NLST Cohort Data |
Wenjun Ye |
The First Affiliated Hospital of Guangzhou Medical University |
NLST |
Jul 8, 2024 |
NLST-1280 |
| Validation of the deep learning models on NLST data (Chest radiographs) |
yoona hwang |
VUNO Inc. |
NLST |
Jul 8, 2024 |
NLST-1274 |
| SynapticEdge: Deep learning-based diagnostic tool for lung cancer pathology images |
Oke Dimas Asmara |
University of Groningen |
NLST |
Jun 17, 2024 |
NLST-1272 |
| AI-Enhanced Lung Cancer Risk Prediction and Nodule Detection |
Mohammad Monir Uddin |
North South University |
NLST |
Jun 17, 2024 |
NLST-1270 |
| Design and development of an AI algorithm to predict recurrence and treatment response in NSCLC patients from CT and pathology images |
Raffaella Massafra |
Istituto Tumori "Giovanni Paolo II" I.R.C.C.S. |
NLST |
Jun 17, 2024 |
NLST-1269 |
| Automated classification/ detection of Incidental Findings in LCS scans |
Colin Jacobs |
Radboud University Medical Center |
NLST |
Jun 17, 2024 |
NLST-1268 |
| The deep learning model to predict lung cancer risk within the next 3 years by once Low-dose computed tomography screening |
Lei Shi |
Radiology Department of Zhejiang Cancer Hospital |
NLST |
Jun 17, 2024 |
NLST-1265 |
| Investigating Potential of Ethnicity Information Embedded in Medical Images |
Rasika Rajapakshe |
BC Cancer, part of the Provincial Health Services Authority |
NLST |
Jun 17, 2024 |
NLST-1264 |
| Analyzing the Utility of Smoking Cessation Requirements in the Morbidity and Mortality of Current and Former Smokers Undergoing Lung Resection |
Robert Van Haren |
University of Cincinnati Medical Center |
NLST |
Jun 17, 2024 |
NLST-1262 |
| Developing an AI diagnostic model for lung cancer based on deep learning algorithms using histopathology images and imaging images |
Wenchuan Zhang |
Department of pathology of West China hospital,China |
NLST |
May 29, 2024 |
NLST-1261 |
| AI-based multi-dimensional characterization of pulmonary nodules to improve lung cancer screening |
Francesco Sforazzini |
Siena Imaging SRL |
NLST |
May 29, 2024 |
NLST-1257 |
| Predicting mortality risk using cardiac LDCT regions |
chen yingchi |
National Yang Ming Chiao Tung University |
NLST |
May 16, 2024 |
NLST-1255 |
| Using foundation model for cardiovascular disease detection. |
Xiaofeng Yang |
Emory University |
NLST |
May 16, 2024 |
NLST-1249 |
| Nodule risk assessment |
Scott Morris |
Maverix Medical |
NLST |
May 16, 2024 |
NLST-1252 |
| Underlying risk of developing and dying from lung cancer |
Louise Henderson |
University of North Carolina at Chapel Hill |
NLST |
May 16, 2024 |
NLST-1248 |
