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 |
Deep Learning Algorithm for Lung Adenocarcinoma Subtype Recognition Based on Multimodal Data |
Ying Ji |
Beijing Chao-Yang Hospital, Capital Medical University |
NLST |
Oct 3, 2023 |
NLST-1133 |
Incidental Finding of Coronary Calcium (CAC) in National Lung Screening Trial participants: Its Distribution and Potential Implication |
Ilana Gareen |
School of Public Health, Brown University |
NLST |
Sep 28, 2023 |
NLST-1129 |
Cancer risk after radiation exposure from low dose lung cancer screening |
Soon Ho Yoon |
Seoul National University Hospital |
NLST |
Sep 28, 2023 |
NLST-1127 |
Lung cancer classification on radiology reports using Natural language processing |
Cyrille KESIKU |
University of Deusto |
NLST |
Sep 19, 2023 |
NLST-1124 |
Evaluation and Optimization of Lung Cancer Screening Effectiveness Using the NLST Dataset |
Ted Li |
China Changzhou Lunghealth Medical Equipment Co., Ltd. |
NLST |
Sep 18, 2023 |
NLST-1123 |
Reevaluating the Use of Race and Ethnicity in Medical Risk Assessments |
Sharad Goel |
Harvard University |
NLST |
Sep 5, 2023 |
NLST-1121 |
Comparability of heterogeneity of treatment effect findings from two randomized clinical trials datasets: application of machine-learning based algorithms |
Motohiko Adomi |
Harvard T.H. Chan School of Public Health |
NLST |
Sep 5, 2023 |
NLST-1119 |
Malignant risk prediction model was constructed based on image omics. |
YUE LI |
Guang'anmen Hospital, China Academy of Chinese Medical Sciences |
NLST |
Sep 5, 2023 |
NLST-1117 |
Association between the saliva/sputum microbiome and risk of lung cancer in the National Lung Screening Trial (ACRIN 6654) |
Emily Vogtmann |
National Cancer Institute |
NLST |
Aug 17, 2023 |
NLST-1116 |
Development and validation of a novel deep learning method for diagnosing solitary pulmonary nodules |
Wenhao Chi |
Yau Mathematical Sciences Center |
NLST |
Aug 17, 2023 |
NLST-1114 |
Analysis of Time to Lung Cancer Diagnosis from Initial LDCT |
Ha Nguyen |
Guardant Health |
NLST |
Aug 17, 2023 |
NLST-1112 |
Using AI to predict cardiovascular disease |
yuankai wang |
University of Liverpool |
NLST |
Aug 8, 2023 |
NLST-1110 |
Automate processing multimodal Cancer imaging data for clinical validation process of AI products |
Veysel Kocaman |
Gesund AI |
NLST |
Aug 8, 2023 |
NLST-1105 |
Study on multimodal diagnosis and prognosis model of lung cancer |
Wenmiao Wang |
Research Center for Intelligent Medical Information Processing, Shandong University |
NLST |
Aug 8, 2023 |
NLST-1104 |
Study on prognostic significance of STAS in lung cancer |
Lanqing Cao |
Second Hospital of Jilin University |
NLST |
Aug 8, 2023 |
NLST-1103 |