| OWL: an optimized and independently validated machine learning prediction model for lung cancer screening based on the UK Biobank, PLCO, and NLST populations. |
36701900
|
Pan Z, Zhang R, Shen S, Lin Y, Zhang L, Wang X, Ye Q, Wang X, Chen J, Zhao Y, Christiani DC, Li Y, Chen F, Wei Y |
EBioMedicine |
2023 |
NLST, PLCO |
| Sybil: A Validated Deep Learning Model to Predict Future Lung Cancer Risk From a Single Low-Dose Chest Computed Tomography. |
36634294
|
Mikhael PG, Wohlwend J, Yala A, Karstens L, Xiang J, Takigami AK, Bourgouin PP, Chan P, Mrah S, Amayri W, Juan YH, Yang CT, Wan YL, Lin G, Sequist LV, Fintelmann FJ, Barzilay R |
J Clin Oncol |
2023 |
NLST |
| Updated cost-effectiveness analysis of lung cancer screening for Australia, capturing differences in the health economic impact of NELSON and NLST outcomes. |
36323879
|
Behar Harpaz S, Weber MF, Wade S, Ngo PJ, Vaneckova P, Sarich PEA, Cressman S, Tammemagi MC, Fong K, Marshall H, McWilliams A, Zalcberg JR, Caruana M, Canfell K |
Br J Cancer |
2023 |
NLST |
| GraphLSurv: A scalable survival prediction network with adaptive and sparse structure learning for histopathological whole-slide images. |
36841107
|
Liu P, Ji L, Ye F, Fu B |
Comput Methods Programs Biomed |
2023 |
NLST |
| Early Detection of Lung Cancer in the NLST Dataset. |
36909593
|
Mukherjee P, Brezhneva A, Napel S, Gevaert O |
medRxiv |
2023 |
NLST |
| Significant Incidental Findings in the National Lung Screening Trial. |
37155190
|
Gareen IF, Gutman R, Sicks J, Tailor TD, Hoffman RM, Trivedi AN, Flores E, Underwood E, Cochancela J, Chiles C |
JAMA Intern Med |
2023 |
NLST |
| Prevention, Risk Reduction, and Hereditary Cancer |
|
Ellen T. Chang, Sam M. Janes, Allan Hackshaw, Christina A. Clarke Dur, Diana SM Buist, Earl A. Hubbell |
J Clin Oncol 41, 2023 (suppl 16; abstr 10633) |
2023 |
NLST |
| Modeling oral cancer screening in the United States population. |
34864525
|
Cramer JD, Grauer J |
Oral Oncol |
2022 |
NLST |
| Long-term Outcomes After Lung Cancer Resection in Smokers: Analysis of the National Lung Screening Trial. |
34591149
|
Sesti J, Decker J, Bell J, Nguyen A, Lackey A, Turner AL, Hilden P, Paul S |
World J Surg |
2022 |
NLST |
| Surgical Outcomes in the National Lung Screening Trial Compared With Contemporary Practice. |
35007506
|
Savitch SL, Zheng R, Abdelsattar ZM, Barta JA, Okusanya OT, Evans NR, Grenda TR |
Ann Thorac Surg |
2022 |
NLST |
| Incidence of Head and Neck Cancer With Lung Cancer Screening: Secondary Analysis of a Randomized Controlled Trial. |
34984679
|
Jassal JS, Grauer JS, Cramer JD |
Laryngoscope |
2022 |
NLST |
| Big-Hypergraph Factorization Neural Network for Survival Prediction From Whole Slide Image. |
34982683
|
Di D, Zhang J, Lei F, Tian Q, Gao Y |
IEEE Trans Image Process |
2022 |
NLST |
| Detection and staging of chronic obstructive pulmonary disease using a computed tomography-based weakly supervised deep learning approach. |
35201409
|
Sun J, Liao X, Yan Y, Zhang X, Sun J, Tan W, Liu B, Wu J, Guo Q, Gao S, Li Z, Wang K, Li Q |
Eur Radiol |
2022 |
NLST |
| AI-Driven Model for Automatic Emphysema Detection in Low-Dose Computed Tomography Using Disease-Specific Augmentation. |
35182291
|
Nagaraj Y, Wisselink HJ, Rook M, Cai J, Nagaraj SB, Sidorenkov G, Veldhuis R, Oudkerk M, Vliegenthart R, van Ooijen P |
J Digit Imaging |
2022 |
NLST |
| Strategies for Reducing False-Positive Screening Results for Intermediate-Size Nodules Evaluated Using Lung-RADS: A Secondary Analysis of National Lung Screening Trial Data. |
35319912
|
Hammer MM, Hunsaker AR |
AJR Am J Roentgenol |
2022 |
NLST |
| Developing an understanding of artificial intelligence lung nodule risk prediction using insights from the Brock model. |
35238972
|
Chetan MR, Dowson N, Price NW, Ather S, Nicolson A, Gleeson FV |
Eur Radiol |
2022 |
NLST |
| A Graph-Transformer for Whole Slide Image Classification. |
35594209
|
Zheng Y, Gindra RH, Green EJ, Burks EJ, Betke M, Beane JE, Kolachalama VB |
IEEE Trans Med Imaging |
2022 |
NLST |
| Generative models for reproducible coronary calcium scoring. |
35664539
|
van Velzen SGM, de Vos BD, Noothout JMH, Verkooijen HM, Viergever MA, Išgum I |
J Med Imaging (Bellingham) |
2022 |
NLST |
| The Intervention Probability Curve: Modeling the Practical Application of Threshold-Guided Decision-Making, Evaluated in Lung, Prostate, and Ovarian Cancers. |
35732292
|
Kammer MN, Rowe DJ, Deppen SA, Grogan EL, Kaizer AM, Barón AE, Maldonado F |
Cancer Epidemiol Biomarkers Prev |
2022 |
NLST, PLCO |
| Discriminating TB lung nodules from early lung cancers using deep learning. |
35725445
|
Tan H, Bates JHT, Matthew Kinsey C |
BMC Med Inform Decis Mak |
2022 |
NLST |
