BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

220 related articles for article (PubMed ID: 38042019)

  • 1. Retrospectively assessing evaluation and management of artificial-intelligence detected nodules on uninterpreted chest radiographs in the era of radiologists shortage.
    Kirshenboim Z; Gilat EK; Carl L; Bekker E; Tau N; Klug M; Konen E; Marom EM
    Eur J Radiol; 2024 Jan; 170():111241. PubMed ID: 38042019
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Artificial intelligence-supported lung cancer detection by multi-institutional readers with multi-vendor chest radiographs: a retrospective clinical validation study.
    Ueda D; Yamamoto A; Shimazaki A; Walston SL; Matsumoto T; Izumi N; Tsukioka T; Komatsu H; Inoue H; Kabata D; Nishiyama N; Miki Y
    BMC Cancer; 2021 Oct; 21(1):1120. PubMed ID: 34663260
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Performance of artificial intelligence-based software for the automatic detection of lung lesions on chest radiographs of patients with suspected lung cancer.
    Takamatsu A; Ueno M; Yoshida K; Kobayashi T; Kobayashi S; Gabata T
    Jpn J Radiol; 2024 Mar; 42(3):291-299. PubMed ID: 38032419
    [TBL] [Abstract][Full Text] [Related]  

  • 4. AI Improves Nodule Detection on Chest Radiographs in a Health Screening Population: A Randomized Controlled Trial.
    Nam JG; Hwang EJ; Kim J; Park N; Lee EH; Kim HJ; Nam M; Lee JH; Park CM; Goo JM
    Radiology; 2023 Apr; 307(2):e221894. PubMed ID: 36749213
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. 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]  

  • 7. Performance of an AI based CAD system in solid lung nodule detection on chest phantom radiographs compared to radiology residents and fellow radiologists.
    Peters AA; Decasper A; Munz J; Klaus J; Loebelenz LI; Hoffner MKM; Hourscht C; Heverhagen JT; Christe A; Ebner L
    J Thorac Dis; 2021 May; 13(5):2728-2737. PubMed ID: 34164165
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Multi-Radiologist User Study for Artificial Intelligence-Guided Grading of COVID-19 Lung Disease Severity on Chest Radiographs.
    Li MD; Little BP; Alkasab TK; Mendoza DP; Succi MD; Shepard JO; Lev MH; Kalpathy-Cramer J
    Acad Radiol; 2021 Apr; 28(4):572-576. PubMed ID: 33485773
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Clinical outcomes and actual consequence of lung nodules incidentally detected on chest radiographs by artificial intelligence.
    Hwang SH; Shin HJ; Kim EK; Lee EH; Lee M
    Sci Rep; 2023 Nov; 13(1):19732. PubMed ID: 37957283
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Lung Nodule Detectability of Artificial Intelligence-assisted CT Image Reading in Lung Cancer Screening.
    Zhang Y; Jiang B; Zhang L; Greuter MJW; de Bock GH; Zhang H; Xie X
    Curr Med Imaging; 2022; 18(3):327-334. PubMed ID: 34365951
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Deep Convolutional Neural Network-based Software Improves Radiologist Detection of Malignant Lung Nodules on Chest Radiographs.
    Sim Y; Chung MJ; Kotter E; Yune S; Kim M; Do S; Han K; Kim H; Yang S; Lee DJ; Choi BW
    Radiology; 2020 Jan; 294(1):199-209. PubMed ID: 31714194
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Augmenting lung cancer diagnosis on chest radiographs: positioning artificial intelligence to improve radiologist performance.
    Tam MDBS; Dyer T; Dissez G; Morgan TN; Hughes M; Illes J; Rasalingham R; Rasalingham S
    Clin Radiol; 2021 Aug; 76(8):607-614. PubMed ID: 33993997
    [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. Radiologist-Trained AI Model for Identifying Suboptimal Chest-Radiographs.
    Dasegowda G; Bizzo BC; Gupta RV; Kaviani P; Ebrahimian S; Ricciardelli D; Abedi-Tari F; Neumark N; Digumarthy SR; Kalra MK; Dreyer KJ
    Acad Radiol; 2023 Dec; 30(12):2921-2930. PubMed ID: 37019698
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Diagnostic performance of artificial intelligence for pediatric pulmonary nodule detection in computed tomography of the chest.
    Salman R; Nguyen HN; Sher AC; Hallam KA; Seghers VJ; Sammer MBK
    Clin Imaging; 2023 Sep; 101():50-55. PubMed ID: 37301051
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Computerized detection of lung nodules by means of "virtual dual-energy" radiography.
    Chen S; Suzuki K
    IEEE Trans Biomed Eng; 2013 Feb; 60(2):369-78. PubMed ID: 23193306
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Evaluation of computer-aided diagnosis (CAD) software for the detection of lung nodules on multidetector row computed tomography (MDCT): JAFROC study for the improvement in radiologists' diagnostic accuracy.
    Hirose T; Nitta N; Shiraishi J; Nagatani Y; Takahashi M; Murata K
    Acad Radiol; 2008 Dec; 15(12):1505-12. PubMed ID: 19000867
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Clinically focused multi-cohort benchmarking as a tool for external validation of artificial intelligence algorithm performance in basic chest radiography analysis.
    Rudolph J; Schachtner B; Fink N; Koliogiannis V; Schwarze V; Goller S; Trappmann L; Hoppe BF; Mansour N; Fischer M; Ben Khaled N; Jörgens M; Dinkel J; Kunz WG; Ricke J; Ingrisch M; Sabel BO; Rueckel J
    Sci Rep; 2022 Jul; 12(1):12764. PubMed ID: 35896763
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Computer-aided nodule detection system: results in an unselected series of consecutive chest radiographs.
    Li F; Engelmann R; Armato SG; MacMahon H
    Acad Radiol; 2015 Apr; 22(4):475-80. PubMed ID: 25592026
    [TBL] [Abstract][Full Text] [Related]  

  • 20. [The performance of digital chest radiographs in the detection and diagnosis of pulmonary nodules and the consistency among readers].
    Liang M; Zhao SJ; Zhou LN; Xu XJ; Wang YW; Niu L; Wang HH; Tang W; Wu N
    Zhonghua Zhong Liu Za Zhi; 2023 Mar; 45(3):265-272. PubMed ID: 36944548
    [No Abstract]   [Full Text] [Related]  

    [Next]    [New Search]
    of 11.