| Trustworthy Deep Learning Models for Calcification Assessment in Radiotherapy CT using NLST Data |
Ivana Isgum |
Amsterdam University Medical Center |
NLST |
Dec 4, 2024 |
NLST-1362 |
| Nonparametric Percentile Curve Estimation for Prostate-Specific Antigen |
Oke Gerke |
Odense University Hospital |
PLCO |
Dec 4, 2024 |
PLCO-1754 |
| An artificial intelligence tool for therapeutic optimization in early invasive breast cancer patients. |
Grégoire Gessain |
Spotlight Medical |
PLCO |
Dec 4, 2024 |
PLCOI-1753 |
| A nested case-control study from NLST to evaluate a multiplex protein biomarker-based immunoassay for the early detection of bladder cancer |
Charles Rosser |
Cedars-Sinai Medical Center |
NLST |
Nov 21, 2024 |
NLST-1360 |
| Chest CT Radiomics and Outcomes |
Sadeer Al-Kindi |
Houston Methodist Research Institute |
NLST |
Nov 21, 2024 |
NLST-1359 |
| Artificial Intelligence-Driven Models for Predicting Prognosis in Non-Small Cell Lung Cancer in Egypt with a Global Comparison |
Nourhan Mohamed |
Medical Research Institute |
PLCO |
Nov 21, 2024 |
PLCOI-1748 |
| Improving risk stratification for lung cancer screening using peripheral blood leukocyte DNA methylation: an investigation in the National Lung Screening Trial (NLST) |
Dominique Michaud |
Tufts University |
NLST |
Nov 19, 2024 |
NLST-1358 |
| Use of Breast Cancer Risk Reducing Medications |
Paul Pinsky |
National Institutes of Health |
PLCO |
Nov 19, 2024 |
PLCO-1749 |
| Detection of lung disease using deep learning |
Himanshu Joshi |
Drongo AI pvt LTD |
PLCO |
Nov 15, 2024 |
PLCOI-1747 |
| Surrogate endpoints for cancer screening trials |
Adam Brentnall |
Queen Mary University of London |
MAYO |
Nov 14, 2024 |
MAYO-5 |
| Surrogate endpoints for cancer screening trials |
Adam Brentnall |
Queen Mary University of London |
JHLP |
Nov 14, 2024 |
JHLP-4 |
| Surrogate endpoints for cancer screening trials |
Adam Brentnall |
Queen Mary University of London |
MINN |
Nov 14, 2024 |
MINN-6 |
| Surrogate endpoints for cancer screening trials |
Adam Brentnall |
Queen Mary University of London |
MEM |
Nov 14, 2024 |
MEM-7 |
| Surrogate endpoints for cancer screening trials |
Adam Brentnall |
Queen Mary University of London |
HIPB |
Nov 14, 2024 |
HIPB-15 |
| Improved Methods for Comparing Human Radiologists to AI tools |
Ashesh Rambachan |
Massachusetts Institute of Technology |
NLST |
Nov 12, 2024 |
NLST-1357 |
| Machine Learning approach for the analysis of lung cancer data to aid the radiologists at global level |
Tiratharaj Singh |
Jaypee University of Information Technology (JUIT) |
NLST |
Nov 12, 2024 |
NLST-1355 |
| Exploring Multimodal Factors Influencing Breast Cancer Risk: A Data-Driven Approach |
Oliver Díaz |
Universitat de Barcelona |
PLCO |
Nov 12, 2024 |
PLCO-1742 |
| A Hybridized machine learning based survival prediction of ovarian cyst |
Ovoh Oghenefego |
Delta State University Abraka |
PLCO |
Nov 12, 2024 |
PLCO-1740 |
| Identifying Survival Phenotypes in High-Grade Serous Ovarian Cancer by Application of AI to Digital Pathology |
Ernst Lengyel |
University of Chicago |
PLCO |
Nov 12, 2024 |
PLCOI-1737 |
| Using deep learning models to infer spatial transcriptomics from H&E slides |
Eytan Ruppin |
Cancer Data Science Laboratory, NCI |
NLST |
Nov 5, 2024 |
NLST-1353 |
