129 related articles for article (PubMed ID: 32759979)
1. 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]
2. 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]
3. An international multi-institutional validation study of the algorithm for prostate cancer detection and Gleason grading.
Tolkach Y; Ovtcharov V; Pryalukhin A; Eich ML; Gaisa NT; Braun M; Radzhabov A; Quaas A; Hammerer P; Dellmann A; Hulla W; Haffner MC; Reis H; Fahoum I; Samarska I; Borbat A; Pham H; Heidenreich A; Klein S; Netto G; Caie P; Buettner R
NPJ Precis Oncol; 2023 Aug; 7(1):77. PubMed ID: 37582946
[TBL] [Abstract][Full Text] [Related]
4. Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challenge.
Bulten W; Kartasalo K; Chen PC; Ström P; Pinckaers H; Nagpal K; Cai Y; Steiner DF; van Boven H; Vink R; Hulsbergen-van de Kaa C; van der Laak J; Amin MB; Evans AJ; van der Kwast T; Allan R; Humphrey PA; Grönberg H; Samaratunga H; Delahunt B; Tsuzuki T; Häkkinen T; Egevad L; Demkin M; Dane S; Tan F; Valkonen M; Corrado GS; Peng L; Mermel CH; Ruusuvuori P; Litjens G; Eklund M;
Nat Med; 2022 Jan; 28(1):154-163. PubMed ID: 35027755
[TBL] [Abstract][Full Text] [Related]
5. Use of the ISUP e-learning module improves interrater reliability in prostate cancer grading.
Flach RN; Egevad L; Eklund M; van der Kwast TH; Delahunt B; Samaratunga H; Suelmann BBM; Willemse PM; Meijer RP; van Diest PJ
J Clin Pathol; 2023 Dec; 77(1):22-26. PubMed ID: 36328436
[TBL] [Abstract][Full Text] [Related]
6. A comprehensive AI model development framework for consistent Gleason grading.
Huo X; Ong KH; Lau KW; Gole L; Young DM; Tan CL; Zhu X; Zhang C; Zhang Y; Li L; Han H; Lu H; Zhang J; Hou J; Zhao H; Gan H; Yin L; Wang X; Chen X; Lv H; Cao H; Yu X; Shi Y; Huang Z; Marini G; Xu J; Liu B; Chen B; Wang Q; Gui K; Shi W; Sun Y; Chen W; Cao D; Sanders SJ; Lee HK; Hue SS; Yu W; Tan SY
Commun Med (Lond); 2024 May; 4(1):84. PubMed ID: 38724730
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. A Deep Learning Approach to Diagnostic Classification of Prostate Cancer Using Pathology-Radiology Fusion.
Khosravi P; Lysandrou M; Eljalby M; Li Q; Kazemi E; Zisimopoulos P; Sigaras A; Brendel M; Barnes J; Ricketts C; Meleshko D; Yat A; McClure TD; Robinson BD; Sboner A; Elemento O; Chughtai B; Hajirasouliha I
J Magn Reson Imaging; 2021 Aug; 54(2):462-471. PubMed ID: 33719168
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Endometrial Pipelle Biopsy Computer-Aided Diagnosis: A Feasibility Study.
Vermorgen S; Gelton T; Bult P; Kusters-Vandevelde HVN; Hausnerová J; Van de Vijver K; Davidson B; Stefansson IM; Kooreman LFS; Qerimi A; Huvila J; Gilks B; Shahi M; Zomer S; Bartosch C; Pijnenborg JMA; Bulten J; Ciompi F; Simons M
Mod Pathol; 2024 Feb; 37(2):100417. PubMed ID: 38154654
[TBL] [Abstract][Full Text] [Related]
11. Effectiveness and Cost-effectiveness of Artificial Intelligence-assisted Pathology for Prostate Cancer Diagnosis in Sweden: A Microsimulation Study.
Du X; Hao S; Olsson H; Kartasalo K; Mulliqi N; Rai B; Menges D; Heintz E; Egevad L; Eklund M; Clements M
Eur Urol Oncol; 2024 May; ():. PubMed ID: 38789385
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. Reproducibility and prognostic ability of chronicity parameters in kidney biopsy - Comprehensive evaluation comparing microscopy and artificial intelligence in digital pathology.
Nachiappa Ganesh R; Graviss EA; Nguyen D; El-Zaatari Z; Gaber L; Barrios R; Truong L; Farris AB
Hum Pathol; 2024 Apr; 146():75-85. PubMed ID: 38640986
[TBL] [Abstract][Full Text] [Related]
14. Cancer taxonomy: pathology beyond pathology.
Salto-Tellez M; Cree IA
Eur J Cancer; 2019 Jul; 115():57-60. PubMed ID: 31108243
[TBL] [Abstract][Full Text] [Related]
15. Artificial intelligence for advance requesting of immunohistochemistry in diagnostically uncertain prostate biopsies.
Chatrian A; Colling RT; Browning L; Alham NK; Sirinukunwattana K; Malacrino S; Haghighat M; Aberdeen A; Monks A; Moxley-Wyles B; Rakha E; Snead DRJ; Rittscher J; Verrill C
Mod Pathol; 2021 Sep; 34(9):1780-1794. PubMed ID: 34017063
[TBL] [Abstract][Full Text] [Related]
16. Bayesian belief network for the Gleason patterns in prostatic adenocarcinoma: development of a diagnostic decision support system for educational purposes.
Montironi R; Ball RY; Griffiths DF; Grigor K; Harnden PM; Jarmulowicz M; McWilliam LJ; Moseley RP; Parkinson MC; Santinelli A; Moss SM; Melia JW
Anal Quant Cytol Histol; 2008 Feb; 30(1):8-15. PubMed ID: 18459582
[TBL] [Abstract][Full Text] [Related]
17. Emerging role of deep learning-based artificial intelligence in tumor pathology.
Jiang Y; Yang M; Wang S; Li X; Sun Y
Cancer Commun (Lond); 2020 Apr; 40(4):154-166. PubMed ID: 32277744
[TBL] [Abstract][Full Text] [Related]
18. Deep learning-based breast cancer grading and survival analysis on whole-slide histopathology images.
Wetstein SC; de Jong VMT; Stathonikos N; Opdam M; Dackus GMHE; Pluim JPW; van Diest PJ; Veta M
Sci Rep; 2022 Sep; 12(1):15102. PubMed ID: 36068311
[TBL] [Abstract][Full Text] [Related]
19. Interobserver variability between experienced and inexperienced observers in the histopathological analysis of Wilms tumors: a pilot study for future algorithmic approach.
Rutgers JJ; Bánki T; van der Kamp A; Waterlander TJ; Scheijde-Vermeulen MA; van den Heuvel-Eibrink MM; van der Laak JAWM; Fiocco M; Mavinkurve-Groothuis AMC; de Krijger RR
Diagn Pathol; 2021 Aug; 16(1):77. PubMed ID: 34419100
[TBL] [Abstract][Full Text] [Related]
20. Artificial Intelligence-Enabled Prostate Cancer Diagnosis and Prognosis: Current State and Future Implications.
Satturwar S; Parwani AV
Adv Anat Pathol; 2024 Mar; 31(2):136-144. PubMed ID: 38179884
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]