196 related articles for article (PubMed ID: 38655907)
1. Artificial intelligence in digital histopathology for predicting patient prognosis and treatment efficacy in breast cancer.
McCaffrey C; Jahangir C; Murphy C; Burke C; Gallagher WM; Rahman A
Expert Rev Mol Diagn; 2024 May; 24(5):363-377. PubMed ID: 38655907
[TBL] [Abstract][Full Text] [Related]
2. Future of biomarker evaluation in the realm of artificial intelligence algorithms: application in improved therapeutic stratification of patients with breast and prostate cancer.
Fitzgerald J; Higgins D; Mazo Vargas C; Watson W; Mooney C; Rahman A; Aspell N; Connolly A; Aura Gonzalez C; Gallagher W
J Clin Pathol; 2021 Jul; 74(7):429-434. PubMed ID: 34117103
[TBL] [Abstract][Full Text] [Related]
3. Artificial intelligence in digital breast pathology: Techniques and applications.
Ibrahim A; Gamble P; Jaroensri R; Abdelsamea MM; Mermel CH; Chen PC; Rakha EA
Breast; 2020 Feb; 49():267-273. PubMed ID: 31935669
[TBL] [Abstract][Full Text] [Related]
4. Applications of Artificial Intelligence in Breast Pathology.
Liu Y; Han D; Parwani AV; Li Z
Arch Pathol Lab Med; 2023 Sep; 147(9):1003-1013. PubMed ID: 36800539
[TBL] [Abstract][Full Text] [Related]
5. Application of digital pathology-based advanced analytics of tumour microenvironment organisation to predict prognosis and therapeutic response.
Fu X; Sahai E; Wilkins A
J Pathol; 2023 Aug; 260(5):578-591. PubMed ID: 37551703
[TBL] [Abstract][Full Text] [Related]
6. Artificial intelligence grading of breast cancer: a promising method to refine prognostic classification for management precision.
Elsharawy KA; Gerds TA; Rakha EA; Dalton LW
Histopathology; 2021 Aug; 79(2):187-199. PubMed ID: 33590486
[TBL] [Abstract][Full Text] [Related]
7. Digital pathology and artificial intelligence.
Niazi MKK; Parwani AV; Gurcan MN
Lancet Oncol; 2019 May; 20(5):e253-e261. PubMed ID: 31044723
[TBL] [Abstract][Full Text] [Related]
8. Computational pathology in cancer diagnosis, prognosis, and prediction - present day and prospects.
Verghese G; Lennerz JK; Ruta D; Ng W; Thavaraj S; Siziopikou KP; Naidoo T; Rane S; Salgado R; Pinder SE; Grigoriadis A
J Pathol; 2023 Aug; 260(5):551-563. PubMed ID: 37580849
[TBL] [Abstract][Full Text] [Related]
9. Artificial intelligence applied to breast pathology.
Yousif M; van Diest PJ; Laurinavicius A; Rimm D; van der Laak J; Madabhushi A; Schnitt S; Pantanowitz L
Virchows Arch; 2022 Jan; 480(1):191-209. PubMed ID: 34791536
[TBL] [Abstract][Full Text] [Related]
10. Augmented interpretation of HER2, ER, and PR in breast cancer by artificial intelligence analyzer: enhancing interobserver agreement through a reader study of 201 cases.
Jung M; Song SG; Cho SI; Shin S; Lee T; Jung W; Lee H; Park J; Song S; Park G; Song H; Park S; Lee J; Kang M; Park J; Pereira S; Yoo D; Chung K; Ali SM; Kim SW
Breast Cancer Res; 2024 Feb; 26(1):31. PubMed ID: 38395930
[TBL] [Abstract][Full Text] [Related]
11. Digital image analysis in breast pathology-from image processing techniques to artificial intelligence.
Robertson S; Azizpour H; Smith K; Hartman J
Transl Res; 2018 Apr; 194():19-35. PubMed ID: 29175265
[TBL] [Abstract][Full Text] [Related]
12. Artificial intelligence applications for pre-implantation kidney biopsy pathology practice: a systematic review.
Girolami I; Pantanowitz L; Marletta S; Hermsen M; van der Laak J; Munari E; Furian L; Vistoli F; Zaza G; Cardillo M; Gesualdo L; Gambaro G; Eccher A
J Nephrol; 2022 Sep; 35(7):1801-1808. PubMed ID: 35441256
[TBL] [Abstract][Full Text] [Related]
13. Artificial Intelligence-Enabled Gastric Cancer Interpretations: Are We There yet?
Yousif M; Pantanowitz L
Surg Pathol Clin; 2023 Dec; 16(4):673-686. PubMed ID: 37863559
[TBL] [Abstract][Full Text] [Related]
14. Artificial intelligence for dermatopathology: Current trends and the road ahead.
Chen SB; Novoa RA
Semin Diagn Pathol; 2022 Jul; 39(4):298-304. PubMed ID: 35065872
[TBL] [Abstract][Full Text] [Related]
15. Improving Ki67 assessment concordance by the use of an artificial intelligence-empowered microscope: a multi-institutional ring study.
Cai L; Yan K; Bu H; Yue M; Dong P; Wang X; Li L; Tian K; Shen H; Zhang J; Shang J; Niu S; Han D; Ren C; Huang J; Han X; Yao J; Liu Y
Histopathology; 2021 Oct; 79(4):544-555. PubMed ID: 33840132
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. 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]
18. Evaluating reproducibility of AI algorithms in digital pathology with DAPPER.
Bizzego A; Bussola N; Chierici M; Maggio V; Francescatto M; Cima L; Cristoforetti M; Jurman G; Furlanello C
PLoS Comput Biol; 2019 Mar; 15(3):e1006269. PubMed ID: 30917113
[TBL] [Abstract][Full Text] [Related]
19. Revolutionizing Digital Pathology With the Power of Generative Artificial Intelligence and Foundation Models.
Waqas A; Bui MM; Glassy EF; El Naqa I; Borkowski P; Borkowski AA; Rasool G
Lab Invest; 2023 Nov; 103(11):100255. PubMed ID: 37757969
[TBL] [Abstract][Full Text] [Related]
20. Digital Pathology for Better Clinical Practice.
Hijazi A; Bifulco C; Baldin P; Galon J
Cancers (Basel); 2024 Apr; 16(9):. PubMed ID: 38730638
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
