de Camargo T, Ribeiro G, da Silva M, da Silva L, Torres P, da Silva D
Front Artif Intell. 2025; 8:1512910.
PMID: 39991462
PMC: 11843218.
DOI: 10.3389/frai.2025.1512910.
Bark D, Basu J, Toumpanakis D, Burwick Nyberg J, Bjerner T, Rostami E
Neurotrauma Rep. 2024; 5(1):1009-1015.
PMID: 39440151
PMC: 11491571.
DOI: 10.1089/neur.2024.0017.
Park S, Han K, Lee J
Radiol Med. 2024; 129(11):1644-1655.
PMID: 39225919
DOI: 10.1007/s11547-024-01886-9.
Tekin A, Joghataee M, Rovati L, Truong H, Castillo-Zambrano C, Kushagra K
Biomol Biomed. 2024; 24(5):1387-1399.
PMID: 38643478
PMC: 11379024.
DOI: 10.17305/bb.2024.10447.
Miro Catalina Q, Vidal-Alaball J, Fuster-Casanovas A, Escale-Besa A, Ruiz Comellas A, Sole-Casals J
Sci Rep. 2024; 14(1):5199.
PMID: 38431731
PMC: 10908781.
DOI: 10.1038/s41598-024-55792-1.
Deep Learning-based Diagnosis and Localization of Pneumothorax on Portable Supine Chest X-ray in Intensive and Emergency Medicine: A Retrospective Study.
Wang C, Lin T, Chen G, Lee M, Tay J, Wu C
J Med Syst. 2023; 48(1):1.
PMID: 38048012
PMC: 10695857.
DOI: 10.1007/s10916-023-02023-1.
Reducing false positives in deep learning-based brain metastasis detection by using both gradient-echo and spin-echo contrast-enhanced MRI: validation in a multi-center diagnostic cohort.
Yun S, Park J, Kim N, Park S, Kim H
Eur Radiol. 2023; 34(5):2873-2884.
PMID: 37891415
DOI: 10.1007/s00330-023-10318-7.
Gadoxetic Acid-Enhanced MRI-Based Radiomics Signature: A Potential Imaging Biomarker for Identifying Cytokeratin 19-Positive Hepatocellular Carcinoma.
Hu X, Wang Q, Huang G, He X, Sparrelid E, Brismar T
Comput Math Methods Med. 2023; 2023:5424204.
PMID: 36814805
PMC: 9940957.
DOI: 10.1155/2023/5424204.
Comparison of Chest Radiograph Captions Based on Natural Language Processing vs Completed by Radiologists.
Zhang Y, Liu M, Zhang L, Wang L, Zhao K, Hu S
JAMA Netw Open. 2023; 6(2):e2255113.
PMID: 36753278
PMC: 9909497.
DOI: 10.1001/jamanetworkopen.2022.55113.
Multicentre external validation of a commercial artificial intelligence software to analyse chest radiographs in health screening environments with low disease prevalence.
Kim C, Yang Z, Park S, Hwang S, Oh Y, Kang E
Eur Radiol. 2023; 33(5):3501-3509.
PMID: 36624227
DOI: 10.1007/s00330-022-09315-z.
Diagnostic test accuracy of screening tools for post-traumatic stress disorder among refugees and asylum seekers: A systematic review and meta-analysis.
Magwood O, Bellai-Dussault K, Fox G, McCutcheon C, Adams O, Saad A
J Migr Health. 2022; 7:100144.
PMID: 36568829
PMC: 9772565.
DOI: 10.1016/j.jmh.2022.100144.
Machine Learning and Deep Learning in Cardiothoracic Imaging: A Scoping Review.
Khosravi B, Rouzrokh P, Faghani S, Moassefi M, Vahdati S, Mahmoudi E
Diagnostics (Basel). 2022; 12(10).
PMID: 36292201
PMC: 9600598.
DOI: 10.3390/diagnostics12102512.
Artificial Intelligence-Based Identification of Normal Chest Radiographs: A Simulation Study in a Multicenter Health Screening Cohort.
Yoo H, Kim E, Kim H, Choi Y, Kim M, Hwang S
Korean J Radiol. 2022; 23(10):1009-1018.
PMID: 36175002
PMC: 9523233.
DOI: 10.3348/kjr.2022.0189.
A narrative review of deep learning applications in lung cancer research: from screening to prognostication.
Lee J, Hwang E, Kim H, Park C
Transl Lung Cancer Res. 2022; 11(6):1217-1229.
PMID: 35832457
PMC: 9271435.
DOI: 10.21037/tlcr-21-1012.
How to Clearly and Accurately Report Odds Ratio and Hazard Ratio in Diagnostic Research Studies?.
Park S, Han K
Korean J Radiol. 2022; 23(8):777-784.
PMID: 35695319
PMC: 9340231.
DOI: 10.3348/kjr.2022.0249.
External Validation of Deep Learning Algorithms for Radiologic Diagnosis: A Systematic Review.
Yu A, Mohajer B, Eng J
Radiol Artif Intell. 2022; 4(3):e210064.
PMID: 35652114
PMC: 9152694.
DOI: 10.1148/ryai.210064.
Diagnostic accuracy of a commercially available deep-learning algorithm in supine chest radiographs following trauma.
Gipson J, Tang V, Seah J, Kavnoudias H, Zia A, Lee R
Br J Radiol. 2022; 95(1134):20210979.
PMID: 35271382
PMC: 10996416.
DOI: 10.1259/bjr.20210979.
A pilot study of a deep learning approach to detect marginal bone loss around implants.
Liu M, Wang S, Chen H, Liu Y
BMC Oral Health. 2022; 22(1):11.
PMID: 35034611
PMC: 8762847.
DOI: 10.1186/s12903-021-02035-8.
Artificial intelligence (AI) to enhance breast cancer screening: protocol for population-based cohort study of cancer detection.
Marinovich M, Wylie E, Lotter W, Pearce A, Carter S, Lund H
BMJ Open. 2022; 12(1):e054005.
PMID: 34980622
PMC: 8724814.
DOI: 10.1136/bmjopen-2021-054005.
Diagnostic Accuracy Studies in Radiology: How to Recognize and Address Potential Sources of Bias.
Pavlou A, Kurtz R, Song J
Radiol Res Pract. 2021; 2021:5801662.
PMID: 34532141
PMC: 8440098.
DOI: 10.1155/2021/5801662.