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 *

108 related articles for article (PubMed ID: 36639335)

  • 1. Applications of artificial intelligence in prostate cancer histopathology.
    Busby D; Grauer R; Pandav K; Khosla A; Jain P; Menon M; Haines GK; Cordon-Cardo C; Gorin MA; Tewari AK
    Urol Oncol; 2024 Mar; 42(3):37-47. PubMed ID: 36639335
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. 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]  

  • 4. 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]  

  • 5. 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]  

  • 6. 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]  

  • 7. 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]  

  • 8. A Fully Automated Artificial Intelligence System to Assist Pathologists' Diagnosis to Predict Histologically High-grade Urothelial Carcinoma from Digitized Urine Cytology Slides Using Deep Learning.
    Tsuji K; Kaneko M; Harada Y; Fujihara A; Ueno K; Nakanishi M; Konishi E; Takamatsu T; Horiguchi G; Teramukai S; Ito-Ihara T; Ukimura O
    Eur Urol Oncol; 2024 Apr; 7(2):258-265. PubMed ID: 38065702
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. 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]  

  • 11. 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]  

  • 12. 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]  

  • 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. Artificial intelligence in prostate histopathology: where are we in 2021?
    Oszwald A; Wasinger G; Pradere B; Shariat SF; Compérat EM
    Curr Opin Urol; 2021 Jul; 31(4):430-435. PubMed ID: 33965977
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Critical evaluation of artificial intelligence as a digital twin of pathologists for prostate cancer pathology.
    Eminaga O; Abbas M; Kunder C; Tolkach Y; Han R; Brooks JD; Nolley R; Semjonow A; Boegemann M; West R; Long J; Fan RE; Bettendorf O
    Sci Rep; 2024 Mar; 14(1):5284. PubMed ID: 38438436
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A systematic review and meta-analysis of artificial intelligence diagnostic accuracy in prostate cancer histology identification and grading.
    Morozov A; Taratkin M; Bazarkin A; Rivas JG; Puliatti S; Checcucci E; Belenchon IR; Kowalewski KF; Shpikina A; Singla N; Teoh JYC; Kozlov V; Rodler S; Piazza P; Fajkovic H; Yakimov M; Abreu AL; Cacciamani GE; Enikeev D;
    Prostate Cancer Prostatic Dis; 2023 Dec; 26(4):681-692. PubMed ID: 37185992
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. 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]  

  • 19. Artificial intelligence assistance significantly improves Gleason grading of prostate biopsies by pathologists.
    Bulten W; Balkenhol M; Belinga JA; Brilhante A; Çakır A; Egevad L; Eklund M; Farré X; Geronatsiou K; Molinié V; Pereira G; Roy P; Saile G; Salles P; Schaafsma E; Tschui J; Vos AM; ; van Boven H; Vink R; van der Laak J; Hulsbergen-van der Kaa C; Litjens G
    Mod Pathol; 2021 Mar; 34(3):660-671. PubMed ID: 32759979
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Recent Developments in Artificial Intelligence-Based Techniques for Prostate Cancer Detection: A Scoping Review.
    Shah U; Biswas MR; Alzubaidi MS; Ali H; Alam T; Househ M; Shah Z
    Stud Health Technol Inform; 2022 Jan; 289():268-271. PubMed ID: 35062144
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.