BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

445 related articles for article (PubMed ID: 36428854)

  • 1. Application of Artificial Intelligence in Pathology: Trends and Challenges.
    Kim I; Kang K; Song Y; Kim TJ
    Diagnostics (Basel); 2022 Nov; 12(11):. PubMed ID: 36428854
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Artificial Intelligence in pathology: current applications, limitations, and future directions.
    Sajithkumar A; Thomas J; Saji AM; Ali F; E K HH; Adampulan HAG; Sarathchand S
    Ir J Med Sci; 2024 Apr; 193(2):1117-1121. PubMed ID: 37542634
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. Challenges in the Development, Deployment, and Regulation of Artificial Intelligence in Anatomic Pathology.
    Cheng JY; Abel JT; Balis UGJ; McClintock DS; Pantanowitz L
    Am J Pathol; 2021 Oct; 191(10):1684-1692. PubMed ID: 33245914
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. Artificial Intelligence and Digital Pathology: Challenges and Opportunities.
    Tizhoosh HR; Pantanowitz L
    J Pathol Inform; 2018; 9():38. PubMed ID: 30607305
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Translational AI and Deep Learning in Diagnostic Pathology.
    Serag A; Ion-Margineanu A; Qureshi H; McMillan R; Saint Martin MJ; Diamond J; O'Reilly P; Hamilton P
    Front Med (Lausanne); 2019; 6():185. PubMed ID: 31632973
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Requirements for implementation of artificial intelligence in the practice of gastrointestinal pathology.
    Yoshida H; Kiyuna T
    World J Gastroenterol; 2021 Jun; 27(21):2818-2833. PubMed ID: 34135556
    [TBL] [Abstract][Full Text] [Related]  

  • 9. The state of the art for artificial intelligence in lung digital pathology.
    Viswanathan VS; Toro P; Corredor G; Mukhopadhyay S; Madabhushi A
    J Pathol; 2022 Jul; 257(4):413-429. PubMed ID: 35579955
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Applications of Digital and Computational Pathology and Artificial Intelligence in Genitourinary Pathology Diagnostics.
    Patel AU; Mohanty SK; Parwani AV
    Surg Pathol Clin; 2022 Dec; 15(4):759-785. PubMed ID: 36344188
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A narrative review of digital pathology and artificial intelligence: focusing on lung cancer.
    Sakamoto T; Furukawa T; Lami K; Pham HHN; Uegami W; Kuroda K; Kawai M; Sakanashi H; Cooper LAD; Bychkov A; Fukuoka J
    Transl Lung Cancer Res; 2020 Oct; 9(5):2255-2276. PubMed ID: 33209648
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Closing the translation gap: AI applications in digital pathology.
    Steiner DF; Chen PC; Mermel CH
    Biochim Biophys Acta Rev Cancer; 2021 Jan; 1875(1):188452. PubMed ID: 33065195
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Current Developments of Artificial Intelligence in Digital Pathology and Its Future Clinical Applications in Gastrointestinal Cancers.
    Wong ANN; He Z; Leung KL; To CCK; Wong CY; Wong SCC; Yoo JS; Chan CKR; Chan AZ; Lacambra MD; Yeung MHY
    Cancers (Basel); 2022 Aug; 14(15):. PubMed ID: 35954443
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. 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]  

  • 16. Explainable AI (xAI) for Anatomic Pathology.
    Tosun AB; Pullara F; Becich MJ; Taylor DL; Fine JL; Chennubhotla SC
    Adv Anat Pathol; 2020 Jul; 27(4):241-250. PubMed ID: 32541594
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Survey of liver pathologists to assess attitudes towards digital pathology and artificial intelligence.
    McGenity C; Randell R; Bellamy C; Burt A; Cratchley A; Goldin R; Hubscher SG; Neil DAH; Quaglia A; Tiniakos D; Wyatt J; Treanor D
    J Clin Pathol; 2023 Dec; 77(1):27-33. PubMed ID: 36599660
    [TBL] [Abstract][Full Text] [Related]  

  • 18. [Artificial intelligence in image analysis-fundamentals and new developments].
    Pouly M; Koller T; Gottfrois P; Lionetti S
    Hautarzt; 2020 Sep; 71(9):660-668. PubMed ID: 32789670
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Artificial Intelligence-Assisted Renal Pathology: Advances and Prospects.
    Wang Y; Wen Q; Jin L; Chen W
    J Clin Med; 2022 Aug; 11(16):. PubMed ID: 36013157
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Reimagining T Staging Through Artificial Intelligence and Machine Learning Image Processing Approaches in Digital Pathology.
    Bera K; Katz I; Madabhushi A
    JCO Clin Cancer Inform; 2020 Nov; 4():1039-1050. PubMed ID: 33166198
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 23.