199 related articles for article (PubMed ID: 37185992)
1. 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]
2. 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]
3. 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]
4. 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]
5. 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]
6. 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]
7. A Novel Artificial Intelligence-Powered Method for Prediction of Early Recurrence of Prostate Cancer After Prostatectomy and Cancer Drivers.
Huang W; Randhawa R; Jain P; Hubbard S; Eickhoff J; Kummar S; Wilding G; Basu H; Roy R
JCO Clin Cancer Inform; 2022 Feb; 6():e2100131. PubMed ID: 35192404
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Targeted Multiparametric Magnetic Resonance Imaging/Ultrasound Fusion Biopsy for Quantitative Gleason 4 Grading Prediction in Radical Prostatectomy Specimens: Implications for Active Surveillance Candidate Selection.
Kachanov M; Budäus L; Beyersdorff D; Karakiewicz PI; Tian Z; Falkenbach F; Tilki D; Maurer T; Sauter G; Graefen M; Leyh-Bannurah SR
Eur Urol Focus; 2023 Mar; 9(2):303-308. PubMed ID: 36184537
[TBL] [Abstract][Full Text] [Related]
10. Additional elastography-targeted biopsy improves the agreement between biopsy Gleason grade and Gleason grade at radical prostatectomy.
Boehm K; Tennstedt P; Beyer B; Schiffmann J; Beckmann A; Michl U; Beyersdorff D; Budäus L; Graefen M; Karakiewicz PI; Salomon G
World J Urol; 2016 Jun; 34(6):805-10. PubMed ID: 26481227
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. 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]
13. 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]
14. Nuclear Shape and Architecture in Benign Fields Predict Biochemical Recurrence in Prostate Cancer Patients Following Radical Prostatectomy: Preliminary Findings.
Lee G; Veltri RW; Zhu G; Ali S; Epstein JI; Madabhushi A
Eur Urol Focus; 2017 Oct; 3(4-5):457-466. PubMed ID: 28753763
[TBL] [Abstract][Full Text] [Related]
15. Reliability of whole mount radical prostatectomy histopathology as the ground truth for artificial intelligence assisted prostate imaging.
Jager A; Postema AW; van der Linden H; Nooijen PTGA; Bekers E; Kweldam CF; Daures G; Zwart W; Mischi M; Beerlage HP; Oddens JR
Virchows Arch; 2023 Aug; 483(2):197-206. PubMed ID: 37407736
[TBL] [Abstract][Full Text] [Related]
16. Evaluation of concordance of Gleason score between prostate biopsy and radical prostatectomy.
Mansouri N; Msakni I; Gargouri F; Khiari R; Bouziani A; Laabidi B
Tunis Med; 2018 Jul; 96(7):430-436. PubMed ID: 30430487
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. 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]
19. Accuracy of prostate biopsies for predicting Gleason score in radical prostatectomy specimens: nationwide trends 2000-2012.
Danneman D; Drevin L; Delahunt B; Samaratunga H; Robinson D; Bratt O; Loeb S; Stattin P; Egevad L
BJU Int; 2017 Jan; 119(1):50-56. PubMed ID: 26918298
[TBL] [Abstract][Full Text] [Related]
20. Unilateral positive biopsies in low risk prostate cancer patients diagnosed with extended transrectal ultrasound-guided biopsy schemes do not predict unilateral prostate cancer at radical prostatectomy.
Gallina A; Maccagnano C; Suardi N; Capitanio U; Abdollah F; Raber M; Salonia A; Scattoni V; Rigatti P; Montorsi F; Briganti A
BJU Int; 2012 Jul; 110(2 Pt 2):E64-8. PubMed ID: 22093108
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
