BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

154 related articles for article (PubMed ID: 37594900)

  • 1. Don't Fear the Artificial Intelligence: A Systematic Review of Machine Learning for Prostate Cancer Detection in Pathology.
    Frewing A; Gibson AB; Robertson R; Urie PM; Corte DD
    Arch Pathol Lab Med; 2024 May; 148(5):603-612. PubMed ID: 37594900
    [TBL] [Abstract][Full Text] [Related]  

  • 2. An artificial intelligence algorithm for prostate cancer diagnosis in whole slide images of core needle biopsies: a blinded clinical validation and deployment study.
    Pantanowitz L; Quiroga-Garza GM; Bien L; Heled R; Laifenfeld D; Linhart C; Sandbank J; Albrecht Shach A; Shalev V; Vecsler M; Michelow P; Hazelhurst S; Dhir R
    Lancet Digit Health; 2020 Aug; 2(8):e407-e416. PubMed ID: 33328045
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Development and Validation of an Artificial Intelligence-Powered Platform for Prostate Cancer Grading and Quantification.
    Huang W; Randhawa R; Jain P; Iczkowski KA; Hu R; Hubbard S; Eickhoff J; Basu H; Roy R
    JAMA Netw Open; 2021 Nov; 4(11):e2132554. PubMed ID: 34730818
    [TBL] [Abstract][Full Text] [Related]  

  • 4. The devil is in the details: a small-lesion sensitive weakly supervised learning framework for prostate cancer detection and grading.
    Yang Z; Wang X; Xiang J; Zhang J; Yang S; Wang X; Yang W; Li Z; Han X; Liu Y
    Virchows Arch; 2023 Mar; 482(3):525-538. PubMed ID: 36823229
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Comparison of Artificial Intelligence Techniques to Evaluate Performance of a Classifier for Automatic Grading of Prostate Cancer From Digitized Histopathologic Images.
    Nir G; Karimi D; Goldenberg SL; Fazli L; Skinnider BF; Tavassoli P; Turbin D; Villamil CF; Wang G; Thompson DJS; Black PC; Salcudean SE
    JAMA Netw Open; 2019 Mar; 2(3):e190442. PubMed ID: 30848813
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Automatic diagnosis and grading of Prostate Cancer with weakly supervised learning on whole slide images.
    Xiang J; Wang X; Wang X; Zhang J; Yang S; Yang W; Han X; Liu Y
    Comput Biol Med; 2023 Jan; 152():106340. PubMed ID: 36481762
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Artificial Intelligence in Magnetic Resonance Imaging-based Prostate Cancer Diagnosis: Where Do We Stand in 2021?
    Suarez-Ibarrola R; Sigle A; Eklund M; Eberli D; Miernik A; Benndorf M; Bamberg F; Gratzke C
    Eur Urol Focus; 2022 Mar; 8(2):409-417. PubMed ID: 33773964
    [TBL] [Abstract][Full Text] [Related]  

  • 8. An Artificial Intelligence-based Support Tool for Automation and Standardisation of Gleason Grading in Prostate Biopsies.
    Marginean F; Arvidsson I; Simoulis A; Christian Overgaard N; Åström K; Heyden A; Bjartell A; Krzyzanowska A
    Eur Urol Focus; 2021 Sep; 7(5):995-1001. PubMed ID: 33303404
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Development and Validation of a Deep Learning Algorithm for Gleason Grading of Prostate Cancer From Biopsy Specimens.
    Nagpal K; Foote D; Tan F; Liu Y; Chen PC; Steiner DF; Manoj N; Olson N; Smith JL; Mohtashamian A; Peterson B; Amin MB; Evans AJ; Sweet JW; Cheung C; van der Kwast T; Sangoi AR; Zhou M; Allan R; Humphrey PA; Hipp JD; Gadepalli K; Corrado GS; Peng LH; Stumpe MC; Mermel CH
    JAMA Oncol; 2020 Sep; 6(9):1372-1380. PubMed ID: 32701148
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Clinical Validation of Artificial Intelligence-Augmented Pathology Diagnosis Demonstrates Significant Gains in Diagnostic Accuracy in Prostate Cancer Detection.
    Raciti P; Sue J; Retamero JA; Ceballos R; Godrich R; Kunz JD; Casson A; Thiagarajan D; Ebrahimzadeh Z; Viret J; Lee D; Schüffler PJ; DeMuth G; Gulturk E; Kanan C; Rothrock B; Reis-Filho J; Klimstra DS; Reuter V; Fuchs TJ
    Arch Pathol Lab Med; 2023 Oct; 147(10):1178-1185. PubMed ID: 36538386
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Discriminatory Gleason grade group signatures of prostate cancer: An application of machine learning methods.
    Mokoatle M; Mapiye D; Marivate V; Hayes VM; Bornman R
    PLoS One; 2022; 17(6):e0267714. PubMed ID: 35679280
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Independent real-world application of a clinical-grade automated prostate cancer detection system.
    da Silva LM; Pereira EM; Salles PG; Godrich R; Ceballos R; Kunz JD; Casson A; Viret J; Chandarlapaty S; Ferreira CG; Ferrari B; Rothrock B; Raciti P; Reuter V; Dogdas B; DeMuth G; Sue J; Kanan C; Grady L; Fuchs TJ; Reis-Filho JS
    J Pathol; 2021 Jun; 254(2):147-158. PubMed ID: 33904171
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Novel artificial intelligence system increases the detection of prostate cancer in whole slide images of core needle biopsies.
    Raciti P; Sue J; Ceballos R; Godrich R; Kunz JD; Kapur S; Reuter V; Grady L; Kanan C; Klimstra DS; Fuchs TJ
    Mod Pathol; 2020 Oct; 33(10):2058-2066. PubMed ID: 32393768
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Automated deep-learning system for Gleason grading of prostate cancer using biopsies: a diagnostic study.
    Bulten W; Pinckaers H; van Boven H; Vink R; de Bel T; van Ginneken B; van der Laak J; Hulsbergen-van de Kaa C; Litjens G
    Lancet Oncol; 2020 Feb; 21(2):233-241. PubMed ID: 31926805
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Evaluation of the Use of Combined Artificial Intelligence and Pathologist Assessment to Review and Grade Prostate Biopsies.
    Steiner DF; Nagpal K; Sayres R; Foote DJ; Wedin BD; Pearce A; Cai CJ; Winter SR; Symonds M; Yatziv L; Kapishnikov A; Brown T; Flament-Auvigne I; Tan F; Stumpe MC; Jiang PP; Liu Y; Chen PC; Corrado GS; Terry M; Mermel CH
    JAMA Netw Open; 2020 Nov; 3(11):e2023267. PubMed ID: 33180129
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Artificial Intelligence for Diagnosis and Gleason Grading of Prostate Cancer in Biopsies-Current Status and Next Steps.
    Kartasalo K; Bulten W; Delahunt B; Chen PC; Pinckaers H; Olsson H; Ji X; Mulliqi N; Samaratunga H; Tsuzuki T; Lindberg J; Rantalainen M; Wählby C; Litjens G; Ruusuvuori P; Egevad L; Eklund M
    Eur Urol Focus; 2021 Jul; 7(4):687-691. PubMed ID: 34393083
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Artificial intelligence for diagnosis and grading of prostate cancer in biopsies: a population-based, diagnostic study.
    Ström P; Kartasalo K; Olsson H; Solorzano L; Delahunt B; Berney DM; Bostwick DG; Evans AJ; Grignon DJ; Humphrey PA; Iczkowski KA; Kench JG; Kristiansen G; van der Kwast TH; Leite KRM; McKenney JK; Oxley J; Pan CC; Samaratunga H; Srigley JR; Takahashi H; Tsuzuki T; Varma M; Zhou M; Lindberg J; Lindskog C; Ruusuvuori P; Wählby C; Grönberg H; Rantalainen M; Egevad L; Eklund M
    Lancet Oncol; 2020 Feb; 21(2):222-232. PubMed ID: 31926806
    [TBL] [Abstract][Full Text] [Related]  

  • 18. An independent assessment of an artificial intelligence system for prostate cancer detection shows strong diagnostic accuracy.
    Perincheri S; Levi AW; Celli R; Gershkovich P; Rimm D; Morrow JS; Rothrock B; Raciti P; Klimstra D; Sinard J
    Mod Pathol; 2021 Aug; 34(8):1588-1595. PubMed ID: 33782551
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Comparison of machine learning algorithms to predict clinically significant prostate cancer of the peripheral zone with multiparametric MRI using clinical assessment categories and radiomic features.
    Bernatz S; Ackermann J; Mandel P; Kaltenbach B; Zhdanovich Y; Harter PN; Döring C; Hammerstingl R; Bodelle B; Smith K; Bucher A; Albrecht M; Rosbach N; Basten L; Yel I; Wenzel M; Bankov K; Koch I; Chun FK; Köllermann J; Wild PJ; Vogl TJ
    Eur Radiol; 2020 Dec; 30(12):6757-6769. PubMed ID: 32676784
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Artificial intelligence system shows performance at the level of uropathologists for the detection and grading of prostate cancer in core needle biopsy: an independent external validation study.
    Jung M; Jin MS; Kim C; Lee C; Nikas IP; Park JH; Ryu HS
    Mod Pathol; 2022 Oct; 35(10):1449-1457. PubMed ID: 35487950
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.