| Development and Validation of In-House Artificial Intelligence Models for Mutation and Survival Prediction |
Nikolaos Tsiknakis |
Karolinska Institutet |
PLCO |
Apr 29, 2024 |
PLCOI-1539 |
| Development of a Woman-Specific Risk Model for Participation in Lung Cancer CT Screening |
Marie-Pierre Revel |
APHP |
PLCO |
Apr 29, 2024 |
PLCO-1538 |
| 5DCT Radiation Oncology |
RICKY SAVJANI |
University of California Los Angeles |
NLST |
Apr 29, 2024 |
NLST-1240 |
| Development of a Woman-Specific Risk Model for Participation in Lung Cancer CT Screening |
Marie-Pierre Revel |
APHP |
NLST |
Apr 29, 2024 |
NLST-1237 |
| Prototype System for Supporting Urologists in Bladder Tumor Detection |
Jaime Hugo Puebla Lomas |
Instituto Politécnico Nacional |
PLCO |
Apr 18, 2024 |
PLCOI-1527 |
| Is Supervised machine learning algorithm comparative over nomograms in predicting biochemical recurrence after prostatectomy: a validation study |
Kheng Sit Lim |
AiM Medical Pte Ltd |
PLCO |
Apr 18, 2024 |
PLCO-1533 |
| Predicting cancer-specific mortality using histopathology slides |
Shu Jiang |
Washington University in St. Louis |
PLCO |
Apr 18, 2024 |
PLCOI-1532 |
| AI/ML based risk analysis for early cancer detection and prevention for high-risk, understudied, and/or underserved cancer populations. |
Amalendu Ranjan |
UNT Health Science Center |
PLCO |
Apr 18, 2024 |
PLCO-1529 |
| From clinical trials to real world practice: health status of community-dwelling veterans receiving lung cancer screening compared to randomized trial participants |
Alison Rustagi |
University of California, San Francisco |
NLST |
Apr 18, 2024 |
NLST-1236 |
| Evaluating the Cost-Effectiveness of the Sybil Model for Lung Nodule Surveillance in Cancer Screening |
Kei Chuen Ma |
Massachusetts Institute of Technology |
NLST |
Apr 18, 2024 |
NLST-1235 |
| Precision nutrition approaches to prostate cancer prevention: role of insulinemic dietary patterns on lethality |
Fred Tabung |
The Ohio State University Comprehensive Cancer Center |
PLCO |
Apr 16, 2024 |
2023-0064 |
| Using Interpretable and (Explainable) Ensemble Methods to Unpack Disease Predictions: An Empirical Study of the Cancer Prediction Problem |
Gorkem Turgut Ozer |
University of New Hampshire |
PLCO |
Apr 12, 2024 |
PLCO-1530 |
| Applying Machine Learning To Assess Dietary Patterns |
Weslie Khoo |
Indiana University |
IDATA |
Apr 11, 2024 |
IDATA-72 |
| Predictive Health: Navigating Dietary Dynamics and BMI Trajectories for Chronic Condition Prevention |
Yao-Chi Yu |
Tarleton State University |
IDATA |
Apr 11, 2024 |
IDATA-70 |
| The relevance of co-morbidities and other modifiable risk factors beyond BMI in determining prognosis among gynecologic cancers |
Mauricio Cuello |
Pontificia Universidad Católica de Chile |
PLCO |
Apr 10, 2024 |
PLCO-1457 |
| Role of dietary intake in cancer survival |
Maryam Farvid |
George Mason University |
PLCO |
Apr 3, 2024 |
PLCO-1511 |
| Neural Network AI detection of Breast cancer (Education) |
Hudson Leslie |
Kingwood Park High School |
PLCO |
Apr 2, 2024 |
PLCO-1524 |
| Screening lung cancer from CT scans through deep learning and assistive AI |
Amulya Mathur |
Carnegie Mellon University |
NLST |
Apr 2, 2024 |
NLST-1225 |
| Probabilistic Analysis of NLST data and prediction |
Jyoti Bhadana |
University of Alberta |
NLST |
Apr 2, 2024 |
NLST-1224 |
| Predicting Pulmonary Function Abnormalities with a Texture-Based Quantification of Normal Lung Parenchyma in Chest Computed Tomography |
Alysson Carvalho |
ID'Or Institute Research and Education |
NLST |
Apr 2, 2024 |
NLST-1223 |
