These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

204 related articles for article (PubMed ID: 32661584)

  • 1. Automated identification of chest radiographs with referable abnormality with deep learning: need for recalibration.
    Hwang EJ; Kim H; Lee JH; Goo JM; Park CM
    Eur Radiol; 2020 Dec; 30(12):6902-6912. PubMed ID: 32661584
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Deep learning algorithm for surveillance of pneumothorax after lung biopsy: a multicenter diagnostic cohort study.
    Hwang EJ; Hong JH; Lee KH; Kim JI; Nam JG; Kim DS; Choi H; Yoo SJ; Goo JM; Park CM
    Eur Radiol; 2020 Jul; 30(7):3660-3671. PubMed ID: 32162001
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Development and Validation of a Deep Learning-Based Automated Detection Algorithm for Major Thoracic Diseases on Chest Radiographs.
    Hwang EJ; Park S; Jin KN; Kim JI; Choi SY; Lee JH; Goo JM; Aum J; Yim JJ; Cohen JG; Ferretti GR; Park CM;
    JAMA Netw Open; 2019 Mar; 2(3):e191095. PubMed ID: 30901052
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Deep learning in chest radiography: Detection of findings and presence of change.
    Singh R; Kalra MK; Nitiwarangkul C; Patti JA; Homayounieh F; Padole A; Rao P; Putha P; Muse VV; Sharma A; Digumarthy SR
    PLoS One; 2018; 13(10):e0204155. PubMed ID: 30286097
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Deep learning-based automated detection algorithm for active pulmonary tuberculosis on chest radiographs: diagnostic performance in systematic screening of asymptomatic individuals.
    Lee JH; Park S; Hwang EJ; Goo JM; Lee WY; Lee S; Kim H; Andrews JR; Park CM
    Eur Radiol; 2021 Feb; 31(2):1069-1080. PubMed ID: 32857202
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Deep Learning for Chest Radiograph Diagnosis in the Emergency Department.
    Hwang EJ; Nam JG; Lim WH; Park SJ; Jeong YS; Kang JH; Hong EK; Kim TM; Goo JM; Park S; Kim KH; Park CM
    Radiology; 2019 Dec; 293(3):573-580. PubMed ID: 31638490
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Artificial Intelligence Algorithm Detecting Lung Infection in Supine Chest Radiographs of Critically Ill Patients With a Diagnostic Accuracy Similar to Board-Certified Radiologists.
    Rueckel J; Kunz WG; Hoppe BF; Patzig M; Notohamiprodjo M; Meinel FG; Cyran CC; Ingrisch M; Ricke J; Sabel BO
    Crit Care Med; 2020 Jul; 48(7):e574-e583. PubMed ID: 32433121
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Optimal matrix size of chest radiographs for computer-aided detection on lung nodule or mass with deep learning.
    Kim YG; Lee SM; Lee KH; Jang R; Seo JB; Kim N
    Eur Radiol; 2020 Sep; 30(9):4943-4951. PubMed ID: 32350657
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Deep learning to detect acute respiratory distress syndrome on chest radiographs: a retrospective study with external validation.
    Sjoding MW; Taylor D; Motyka J; Lee E; Co I; Claar D; McSparron JI; Ansari S; Kerlin MP; Reilly JP; Shashaty MGS; Anderson BJ; Jones TK; Drebin HM; Ittner CAG; Meyer NJ; Iwashyna TJ; Ward KR; Gillies CE
    Lancet Digit Health; 2021 Jun; 3(6):e340-e348. PubMed ID: 33893070
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Deep learning-based detection system for multiclass lesions on chest radiographs: comparison with observer readings.
    Park S; Lee SM; Lee KH; Jung KH; Bae W; Choe J; Seo JB
    Eur Radiol; 2020 Mar; 30(3):1359-1368. PubMed ID: 31748854
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Performance of a deep-learning algorithm for referable thoracic abnormalities on chest radiographs: A multicenter study of a health screening cohort.
    Kim EY; Kim YJ; Choi WJ; Lee GP; Choi YR; Jin KN; Cho YJ
    PLoS One; 2021; 16(2):e0246472. PubMed ID: 33606779
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Deep Learning-Based Computer-Aided Detection System for Preoperative Chest Radiographs to Predict Postoperative Pneumonia.
    Lee T; Hwang EJ; Park CM; Goo JM
    Acad Radiol; 2023 Dec; 30(12):2844-2855. PubMed ID: 36931951
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Validation of a Deep Learning Algorithm for the Detection of Malignant Pulmonary Nodules in Chest Radiographs.
    Yoo H; Kim KH; Singh R; Digumarthy SR; Kalra MK
    JAMA Netw Open; 2020 Sep; 3(9):e2017135. PubMed ID: 32970157
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Test-retest reproducibility of a deep learning-based automatic detection algorithm for the chest radiograph.
    Kim H; Park CM; Goo JM
    Eur Radiol; 2020 Apr; 30(4):2346-2355. PubMed ID: 31900698
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Application of deep learning to the diagnosis of cervical lymph node metastasis from thyroid cancer with CT: external validation and clinical utility for resident training.
    Lee JH; Ha EJ; Kim D; Jung YJ; Heo S; Jang YH; An SH; Lee K
    Eur Radiol; 2020 Jun; 30(6):3066-3072. PubMed ID: 32065285
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Development and Validation of Deep Learning-based Automatic Detection Algorithm for Malignant Pulmonary Nodules on Chest Radiographs.
    Nam JG; Park S; Hwang EJ; Lee JH; Jin KN; Lim KY; Vu TH; Sohn JH; Hwang S; Goo JM; Park CM
    Radiology; 2019 Jan; 290(1):218-228. PubMed ID: 30251934
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Discrimination between transient and persistent subsolid pulmonary nodules on baseline CT using deep transfer learning.
    Huang C; Lv W; Zhou C; Mao L; Xu Q; Li X; Qi L; Xia F; Li X; Zhang Q; Zhang L; Lu G
    Eur Radiol; 2020 Dec; 30(12):6913-6923. PubMed ID: 32696253
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Evaluation of a deep learning-based computer-aided detection algorithm on chest radiographs: Case-control study.
    Choi SY; Park S; Kim M; Park J; Choi YR; Jin KN
    Medicine (Baltimore); 2021 Apr; 100(16):e25663. PubMed ID: 33879750
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Using deep-learning techniques for pulmonary-thoracic segmentations and improvement of pneumonia diagnosis in pediatric chest radiographs.
    E L; Zhao B; Guo Y; Zheng C; Zhang M; Lin J; Luo Y; Cai Y; Song X; Liang H
    Pediatr Pulmonol; 2019 Oct; 54(10):1617-1626. PubMed ID: 31270968
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Prediction of Pulmonary to Systemic Flow Ratio in Patients With Congenital Heart Disease Using Deep Learning-Based Analysis of Chest Radiographs.
    Toba S; Mitani Y; Yodoya N; Ohashi H; Sawada H; Hayakawa H; Hirayama M; Futsuki A; Yamamoto N; Ito H; Konuma T; Shimpo H; Takao M
    JAMA Cardiol; 2020 Apr; 5(4):449-457. PubMed ID: 31968049
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.