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 *

461 related articles for article (PubMed ID: 32139611)

  • 1. External validation of a convolutional neural network artificial intelligence tool to predict malignancy in pulmonary nodules.
    Baldwin DR; Gustafson J; Pickup L; Arteta C; Novotny P; Declerck J; Kadir T; Figueiras C; Sterba A; Exell A; Potesil V; Holland P; Spence H; Clubley A; O'Dowd E; Clark M; Ashford-Turner V; Callister ME; Gleeson FV
    Thorax; 2020 Apr; 75(4):306-312. PubMed ID: 32139611
    [TBL] [Abstract][Full Text] [Related]  

  • 2. The utility of a convolutional neural network (CNN) model score for cancer risk in indeterminate small solid pulmonary nodules, compared to clinical practice according to British Thoracic Society guidelines.
    Tsakok MT; Mashar M; Pickup L; Peschl H; Kadir T; Gleeson F
    Eur J Radiol; 2021 Apr; 137():109553. PubMed ID: 33581913
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Influence of CT dose reduction on AI-driven malignancy estimation of incidental pulmonary nodules.
    Peters AA; Solomon JB; von Stackelberg O; Samei E; Alsaihati N; Valenzuela W; Debic M; Heidt C; Huber AT; Christe A; Heverhagen JT; Kauczor HU; Heussel CP; Ebner L; Wielpütz MO
    Eur Radiol; 2024 May; 34(5):3444-3452. PubMed ID: 37870625
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Longitudinal lung cancer prediction convolutional neural network model improves the classification of indeterminate pulmonary nodules.
    Paez R; Kammer MN; Balar A; Lakhani DA; Knight M; Rowe D; Xiao D; Heideman BE; Antic SL; Chen H; Chen SC; Peikert T; Sandler KL; Landman BA; Deppen SA; Grogan EL; Maldonado F
    Sci Rep; 2023 Apr; 13(1):6157. PubMed ID: 37061539
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Developing an understanding of artificial intelligence lung nodule risk prediction using insights from the Brock model.
    Chetan MR; Dowson N; Price NW; Ather S; Nicolson A; Gleeson FV
    Eur Radiol; 2022 Aug; 32(8):5330-5338. PubMed ID: 35238972
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A simple prediction model using size measures for discrimination of invasive adenocarcinomas among incidental pulmonary subsolid nodules considered for resection.
    Kim H; Goo JM; Park CM
    Eur Radiol; 2019 Apr; 29(4):1674-1683. PubMed ID: 30255253
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Lung cancer prediction by Deep Learning to identify benign lung nodules.
    Heuvelmans MA; van Ooijen PMA; Ather S; Silva CF; Han D; Heussel CP; Hickes W; Kauczor HU; Novotny P; Peschl H; Rook M; Rubtsov R; von Stackelberg O; Tsakok MT; Arteta C; Declerck J; Kadir T; Pickup L; Gleeson F; Oudkerk M
    Lung Cancer; 2021 Apr; 154():1-4. PubMed ID: 33556604
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Differentiation of Benign from Malignant Pulmonary Nodules by Using a Convolutional Neural Network to Determine Volume Change at Chest CT.
    Ohno Y; Aoyagi K; Yaguchi A; Seki S; Ueno Y; Kishida Y; Takenaka D; Yoshikawa T
    Radiology; 2020 Aug; 296(2):432-443. PubMed ID: 32452736
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Diagnostic Accuracy of a Convolutional Neural Network Assessment of Solitary Pulmonary Nodules Compared With PET With CT Imaging and Dynamic Contrast-Enhanced CT Imaging Using Unenhanced and Contrast-Enhanced CT Imaging.
    Weir-McCall JR; Debruyn E; Harris S; Qureshi NR; Rintoul RC; Gleeson FV; Gilbert FJ;
    Chest; 2023 Feb; 163(2):444-454. PubMed ID: 36087795
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Toward an Expert Level of Lung Cancer Detection and Classification Using a Deep Convolutional Neural Network.
    Zhang C; Sun X; Dang K; Li K; Guo XW; Chang J; Yu ZQ; Huang FY; Wu YS; Liang Z; Liu ZY; Zhang XG; Gao XL; Huang SH; Qin J; Feng WN; Zhou T; Zhang YB; Fang WJ; Zhao MF; Yang XN; Zhou Q; Wu YL; Zhong WZ
    Oncologist; 2019 Sep; 24(9):1159-1165. PubMed ID: 30996009
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A CAD system for pulmonary nodule prediction based on deep three-dimensional convolutional neural networks and ensemble learning.
    Huang W; Xue Y; Wu Y
    PLoS One; 2019; 14(7):e0219369. PubMed ID: 31299053
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Predictive value of a novel Asian lung cancer screening nomogram based on artificial intelligence and epidemiological characteristics.
    Liu D; Sun X; Liu A; Li L; Li S; Li J; Liu X; Yang Y; Wu Z; Leng X; Wo Y; Huang Z; Su W; Du W; Yuan T; Jiao W
    Thorac Cancer; 2021 Dec; 12(23):3130-3140. PubMed ID: 34713592
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Predicting Malignancy Risk of Screen-Detected Lung Nodules-Mean Diameter or Volume.
    Tammemagi M; Ritchie AJ; Atkar-Khattra S; Dougherty B; Sanghera C; Mayo JR; Yuan R; Manos D; McWilliams AM; Schmidt H; Gingras M; Pasian S; Stewart L; Tsai S; Seely JM; Burrowes P; Bhatia R; Haider EA; Boylan C; Jacobs C; van Ginneken B; Tsao MS; Lam S;
    J Thorac Oncol; 2019 Feb; 14(2):203-211. PubMed ID: 30368011
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Artificial intelligence-driven computer aided diagnosis system provides similar diagnosis value compared with doctors' evaluation in lung cancer screening.
    Gao S; Xu Z; Kang W; Lv X; Chu N; Xu S; Hou D
    BMC Med Imaging; 2024 Jun; 24(1):141. PubMed ID: 38862884
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Risk of malignancy in pulmonary nodules: A validation study of four prediction models.
    Al-Ameri A; Malhotra P; Thygesen H; Plant PK; Vaidyanathan S; Karthik S; Scarsbrook A; Callister ME
    Lung Cancer; 2015 Jul; 89(1):27-30. PubMed ID: 25864782
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Cancer Risk in Subsolid Nodules in the National Lung Screening Trial.
    Hammer MM; Palazzo LL; Kong CY; Hunsaker AR
    Radiology; 2019 Nov; 293(2):441-448. PubMed ID: 31526256
    [TBL] [Abstract][Full Text] [Related]  

  • 17. External validation and recalibration of the Brock model to predict probability of cancer in pulmonary nodules using NLST data.
    Winter A; Aberle DR; Hsu W
    Thorax; 2019 Jun; 74(6):551-563. PubMed ID: 30898897
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Development and external validation of a multimodal integrated feature neural network (MIFNN) for the diagnosis of malignancy in small pulmonary nodules (≤10 mm).
    Yang R; Zhang Y; Li W; Li Q; Liu X; Zhang F; Liang Z; Huang J; Li X; Tao L; Guo X
    Biomed Phys Eng Express; 2024 May; 10(4):. PubMed ID: 38684143
    [No Abstract]   [Full Text] [Related]  

  • 19. Recalibration of a Deep Learning Model for Low-Dose Computed Tomographic Images to Inform Lung Cancer Screening Intervals.
    Landy R; Wang VL; Baldwin DR; Pinsky PF; Cheung LC; Castle PE; Skarzynski M; Robbins HA; Katki HA
    JAMA Netw Open; 2023 Mar; 6(3):e233273. PubMed ID: 36929398
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Determining the impact of an artificial intelligence tool on the management of pulmonary nodules detected incidentally on CT (DOLCE) study protocol: a prospective, non-interventional multicentre UK study.
    O'Dowd E; Berovic M; Callister M; Chalitsios CV; Chopra D; Das I; Draper A; Garner JL; Gleeson F; Janes S; Kennedy M; Lee R; Mauri F; McKeever TM; McNulty W; Murray J; Nair A; Park J; Rawlinson J; Sagoo GS; Scarsbrook A; Shah P; Sudhir R; Talwar A; Thakrar R; Watkins J; Baldwin DR
    BMJ Open; 2024 Jan; 14(1):e077747. PubMed ID: 38176863
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 24.