153 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]
