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 *

425 related articles for article (PubMed ID: 34973101)

  • 1. Diagnostic effect of artificial intelligence solution for referable thoracic abnormalities on chest radiography: a multicenter respiratory outpatient diagnostic cohort study.
    Jin KN; Kim EY; Kim YJ; Lee GP; Kim H; Oh S; Kim YS; Han JH; Cho YJ
    Eur Radiol; 2022 May; 32(5):3469-3479. PubMed ID: 34973101
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Using AI to Improve Radiologist Performance in Detection of Abnormalities on Chest Radiographs.
    Bennani S; Regnard NE; Ventre J; Lassalle L; Nguyen T; Ducarouge A; Dargent L; Guillo E; Gouhier E; Zaimi SH; Canniff E; Malandrin C; Khafagy P; Koulakian H; Revel MP; Chassagnon G
    Radiology; 2023 Dec; 309(3):e230860. PubMed ID: 38085079
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. Artificial Intelligence-Based Identification of Normal Chest Radiographs: A Simulation Study in a Multicenter Health Screening Cohort.
    Yoo H; Kim EY; Kim H; Choi YR; Kim MY; Hwang SH; Kim YJ; Cho YJ; Jin KN
    Korean J Radiol; 2022 Oct; 23(10):1009-1018. PubMed ID: 36175002
    [TBL] [Abstract][Full Text] [Related]  

  • 5. AI-based improvement in lung cancer detection on chest radiographs: results of a multi-reader study in NLST dataset.
    Yoo H; Lee SH; Arru CD; Doda Khera R; Singh R; Siebert S; Kim D; Lee Y; Park JH; Eom HJ; Digumarthy SR; Kalra MK
    Eur Radiol; 2021 Dec; 31(12):9664-9674. PubMed ID: 34089072
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Comparison of Chest Radiograph Interpretations by Artificial Intelligence Algorithm vs Radiology Residents.
    Wu JT; Wong KCL; Gur Y; Ansari N; Karargyris A; Sharma A; Morris M; Saboury B; Ahmad H; Boyko O; Syed A; Jadhav A; Wang H; Pillai A; Kashyap S; Moradi M; Syeda-Mahmood T
    JAMA Netw Open; 2020 Oct; 3(10):e2022779. PubMed ID: 33034642
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Artificial Intelligence Solution for Chest Radiographs in Respiratory Outpatient Clinics: Multicenter Prospective Randomized Clinical Trial.
    Lee HW; Jin KN; Oh S; Kang SY; Lee SM; Jeong IB; Son JW; Han JH; Heo EY; Lee JG; Kim YJ; Kim EY; Cho YJ
    Ann Am Thorac Soc; 2023 May; 20(5):660-667. PubMed ID: 36508316
    [No Abstract]   [Full Text] [Related]  

  • 8. Nonradiology Health Care Professionals Significantly Benefit From AI Assistance in Emergency-Related Chest Radiography Interpretation.
    Rudolph J; Huemmer C; Preuhs A; Buizza G; Hoppe BF; Dinkel J; Koliogiannis V; Fink N; Goller SS; Schwarze V; Mansour N; Schmidt VF; Fischer M; Jörgens M; Ben Khaled N; Liebig T; Ricke J; Rueckel J; Sabel BO
    Chest; 2024 Jul; 166(1):157-170. PubMed ID: 38295950
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Artificial intelligence system for identification of false-negative interpretations in chest radiographs.
    Hwang EJ; Park J; Hong W; Lee HJ; Choi H; Kim H; Nam JG; Goo JM; Yoon SH; Lee CH; Park CM
    Eur Radiol; 2022 Jul; 32(7):4468-4478. PubMed ID: 35195744
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Commercially Available Chest Radiograph AI Tools for Detecting Airspace Disease, Pneumothorax, and Pleural Effusion.
    Lind Plesner L; Müller FC; Brejnebøl MW; Laustrup LC; Rasmussen F; Nielsen OW; Boesen M; Brun Andersen M
    Radiology; 2023 Sep; 308(3):e231236. PubMed ID: 37750768
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Evaluation of an Artificial Intelligence Model for Detection of Pneumothorax and Tension Pneumothorax in Chest Radiographs.
    Hillis JM; Bizzo BC; Mercaldo S; Chin JK; Newbury-Chaet I; Digumarthy SR; Gilman MD; Muse VV; Bottrell G; Seah JCY; Jones CM; Kalra MK; Dreyer KJ
    JAMA Netw Open; 2022 Dec; 5(12):e2247172. PubMed ID: 36520432
    [TBL] [Abstract][Full Text] [Related]  

  • 12. An Artificial Intelligence-Based Chest X-ray Model on Human Nodule Detection Accuracy From a Multicenter Study.
    Homayounieh F; Digumarthy S; Ebrahimian S; Rueckel J; Hoppe BF; Sabel BO; Conjeti S; Ridder K; Sistermanns M; Wang L; Preuhs A; Ghesu F; Mansoor A; Moghbel M; Botwin A; Singh R; Cartmell S; Patti J; Huemmer C; Fieselmann A; Joerger C; Mirshahzadeh N; Muse V; Kalra M
    JAMA Netw Open; 2021 Dec; 4(12):e2141096. PubMed ID: 34964851
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Association of Artificial Intelligence-Aided Chest Radiograph Interpretation With Reader Performance and Efficiency.
    Ahn JS; Ebrahimian S; McDermott S; Lee S; Naccarato L; Di Capua JF; Wu MY; Zhang EW; Muse V; Miller B; Sabzalipour F; Bizzo BC; Dreyer KJ; Kaviani P; Digumarthy SR; Kalra MK
    JAMA Netw Open; 2022 Aug; 5(8):e2229289. PubMed ID: 36044215
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Autonomous Chest Radiograph Reporting Using AI: Estimation of Clinical Impact.
    Plesner LL; Müller FC; Nybing JD; Laustrup LC; Rasmussen F; Nielsen OW; Boesen M; Andersen MB
    Radiology; 2023 May; 307(3):e222268. PubMed ID: 36880947
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Artificial Intelligence in Chest Radiography Reporting Accuracy: Added Clinical Value in the Emergency Unit Setting Without 24/7 Radiology Coverage.
    Rudolph J; Huemmer C; Ghesu FC; Mansoor A; Preuhs A; Fieselmann A; Fink N; Dinkel J; Koliogiannis V; Schwarze V; Goller S; Fischer M; Jörgens M; Ben Khaled N; Vishwanath RS; Balachandran A; Ingrisch M; Ricke J; Sabel BO; Rueckel J
    Invest Radiol; 2022 Feb; 57(2):90-98. PubMed ID: 34352804
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Effect of Human-AI Interaction on Detection of Malignant Lung Nodules on Chest Radiographs.
    Lee JH; Hong H; Nam G; Hwang EJ; Park CM
    Radiology; 2023 Jun; 307(5):e222976. PubMed ID: 37367443
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Conventional Versus Artificial Intelligence-Assisted Interpretation of Chest Radiographs in Patients With Acute Respiratory Symptoms in Emergency Department: A Pragmatic Randomized Clinical Trial.
    Hwang EJ; Goo JM; Nam JG; Park CM; Hong KJ; Kim KH
    Korean J Radiol; 2023 Mar; 24(3):259-270. PubMed ID: 36788769
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Deep Learning for Chest X-ray Diagnosis: Competition Between Radiologists with or Without Artificial Intelligence Assistance.
    Guo L; Zhou C; Xu J; Huang C; Yu Y; Lu G
    J Imaging Inform Med; 2024 Jun; 37(3):922-934. PubMed ID: 38332402
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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 SH; Hwang SH; Oh YW; Kang EY; Yong HS
    Eur Radiol; 2023 May; 33(5):3501-3509. PubMed ID: 36624227
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Diagnostic performance of artificial intelligence approved for adults for the interpretation of pediatric chest radiographs.
    Shin HJ; Son NH; Kim MJ; Kim EK
    Sci Rep; 2022 Jun; 12(1):10215. PubMed ID: 35715623
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 22.