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 *

426 related articles for article (PubMed ID: 33988788)

  • 21. Dynamic evolution of COVID-19 on chest computed tomography: experience from Jiangsu Province of China.
    Wang YC; Luo H; Liu S; Huang S; Zhou Z; Yu Q; Zhang S; Zhao Z; Yu Y; Yang Y; Wang D; Ju S
    Eur Radiol; 2020 Nov; 30(11):6194-6203. PubMed ID: 32524223
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Quantification of COVID-19 Opacities on Chest CT - Evaluation of a Fully Automatic AI-approach to Noninvasively Differentiate Critical Versus Noncritical Patients.
    Mader C; Bernatz S; Michalik S; Koch V; Martin SS; Mahmoudi S; Basten L; Grünewald LD; Bucher A; Albrecht MH; Vogl TJ; Booz C
    Acad Radiol; 2021 Aug; 28(8):1048-1057. PubMed ID: 33741210
    [TBL] [Abstract][Full Text] [Related]  

  • 23. An Interpretable Chest CT Deep Learning Algorithm for Quantification of COVID-19 Lung Disease and Prediction of Inpatient Morbidity and Mortality.
    Chamberlin JH; Aquino G; Schoepf UJ; Nance S; Godoy F; Carson L; Giovagnoli VM; Gill CE; McGill LJ; O'Doherty J; Emrich T; Burt JR; Baruah D; Varga-Szemes A; Kabakus IM
    Acad Radiol; 2022 Aug; 29(8):1178-1188. PubMed ID: 35610114
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Prediction of Patient Management in COVID-19 Using Deep Learning-Based Fully Automated Extraction of Cardiothoracic CT Metrics and Laboratory Findings.
    Weikert T; Rapaka S; Grbic S; Re T; Chaganti S; Winkel DJ; Anastasopoulos C; Niemann T; Wiggli BJ; Bremerich J; Twerenbold R; Sommer G; Comaniciu D; Sauter AW
    Korean J Radiol; 2021 Jun; 22(6):994-1004. PubMed ID: 33686818
    [TBL] [Abstract][Full Text] [Related]  

  • 25. AI detection of mild COVID-19 pneumonia from chest CT scans.
    Yao JC; Wang T; Hou GH; Ou D; Li W; Zhu QD; Chen WC; Yang C; Wang LJ; Wang LP; Fan LY; Shi KY; Zhang J; Xu D; Li YQ
    Eur Radiol; 2021 Sep; 31(9):7192-7201. PubMed ID: 33738595
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Computed Tomography scanning in patients with COVID-19: artificial intelligence analysis of lesions volume and outcome.
    Zuo YH; Chen Y; Chen LH; Zhang Q; Qiu B
    Eur Rev Med Pharmacol Sci; 2023 Jun; 27(12):5869-5877. PubMed ID: 37401324
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Can Deep Learning-Based Volumetric Analysis Predict Oxygen Demand Increase in Patients with COVID-19 Pneumonia?
    Takahashi M; Fujioka T; Horii T; Kimura K; Kimura M; Hashimoto Y; Kitazume Y; Kishino M; Tateishi U
    Medicina (Kaunas); 2021 Oct; 57(11):. PubMed ID: 34833366
    [No Abstract]   [Full Text] [Related]  

  • 28. Letter to the Editor: Quantitative evaluation of COVID-19 pneumonia severity by CT pneumonia analysis algorithm using deep learning technology and blood test results.
    Mungmunpuntipantip R; Wiwanitkit V
    Jpn J Radiol; 2021 Oct; 39(10):1020. PubMed ID: 34224062
    [No Abstract]   [Full Text] [Related]  

  • 29. Newly developed artificial intelligence algorithm for COVID-19 pneumonia: utility of quantitative CT texture analysis for prediction of favipiravir treatment effect.
    Ohno Y; Aoyagi K; Arakita K; Doi Y; Kondo M; Banno S; Kasahara K; Ogawa T; Kato H; Hase R; Kashizaki F; Nishi K; Kamio T; Mitamura K; Ikeda N; Nakagawa A; Fujisawa Y; Taniguchi A; Ikeda H; Hattori H; Murayama K; Toyama H
    Jpn J Radiol; 2022 Aug; 40(8):800-813. PubMed ID: 35396667
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Automated quantification of COVID-19 severity and progression using chest CT images.
    Pu J; Leader JK; Bandos A; Ke S; Wang J; Shi J; Du P; Guo Y; Wenzel SE; Fuhrman CR; Wilson DO; Sciurba FC; Jin C
    Eur Radiol; 2021 Jan; 31(1):436-446. PubMed ID: 32789756
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Predictive role of clinical features in patients with coronavirus disease 2019 for severe disease.
    Mo J; Liu J; Wu S; LÜ A; Xiao L; Chen D; Zhou Y; Liang L; Liu X; Zhao J
    Zhong Nan Da Xue Xue Bao Yi Xue Ban; 2020 May; 45(5):536-541. PubMed ID: 32879103
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Reply to the Letter to the Editor: Quantitative evaluation of COVID-19 pneumonia severity by CT pneumonia analysis algorithm using deep learning technology and blood test results.
    Okuma T
    Jpn J Radiol; 2021 Oct; 39(10):1021. PubMed ID: 34287738
    [No Abstract]   [Full Text] [Related]  

  • 33. Quantitative analysis of chest computed tomography of COVID-19 pneumonia using a software widely used in Japan.
    Suzuki M; Fujii Y; Nishimura Y; Yasui K; Fujisawa H
    PLoS One; 2023; 18(10):e0287953. PubMed ID: 37871048
    [TBL] [Abstract][Full Text] [Related]  

  • 34. A new imaging sign in COVID-19 pneumonia: vascular changes and their correlation with clinical severity of the disease.
    Tekcan Şanlı DE; Yıldırım D
    Diagn Interv Radiol; 2021 Mar; 27(2):172-180. PubMed ID: 33044171
    [TBL] [Abstract][Full Text] [Related]  

  • 35. The role of artificial intelligence technology analysis of high-resolution computed tomography images in predicting the severity of COVID-19 pneumonia.
    Chrzan R; Wojciechowska W; Terlecki M; Klocek M; Rajzer M; Popiela T
    Pol Arch Intern Med; 2022 Dec; 132(12):. PubMed ID: 36026617
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Contribution of artificial intelligence applications developed with the deep learning method to the diagnosis of COVID-19 pneumonia on computed tomography.
    Aydın N; Çelik Ö
    Tuberk Toraks; 2021 Dec; 69(4):486-491. PubMed ID: 34957742
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Multicenter Assessment of CT Pneumonia Analysis Prototype for Predicting Disease Severity and Patient Outcome.
    Homayounieh F; Bezerra Cavalcanti Rockenbach MA; Ebrahimian S; Doda Khera R; Bizzo BC; Buch V; Babaei R; Karimi Mobin H; Mohseni I; Mitschke M; Zimmermann M; Durlak F; Rauch F; Digumarthy SR; Kalra MK
    J Digit Imaging; 2021 Apr; 34(2):320-329. PubMed ID: 33634416
    [TBL] [Abstract][Full Text] [Related]  

  • 38. The Predictive Role of Artificial Intelligence-Based Chest CT Quantification in Patients with COVID-19 Pneumonia.
    Szabó IV; Simon J; Nardocci C; Kardos AS; Nagy N; Abdelrahman RH; Zsarnóczay E; Fejér B; Futácsi B; Müller V; Merkely B; Maurovich-Horvat P
    Tomography; 2021 Nov; 7(4):697-710. PubMed ID: 34842822
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Computed tomography semi-automated lung volume quantification in SARS-CoV-2-related pneumonia.
    Ippolito D; Ragusi M; Gandola D; Maino C; Pecorelli A; Terrani S; Peroni M; Giandola T; Porta M; Talei Franzesi C; Sironi S
    Eur Radiol; 2021 May; 31(5):2726-2736. PubMed ID: 33125559
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Artificial intelligence for assistance of radiology residents in chest CT evaluation for COVID-19 pneumonia: a comparative diagnostic accuracy study.
    Mlynska L; Malouhi A; Ingwersen M; Güttler F; Gräger S; Teichgräber U
    Acta Radiol; 2023 Jun; 64(6):2104-2110. PubMed ID: 36890698
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 22.