Artificial intelligence: a solution for the lack of pathologists?

被引:0
|
作者
Jurmeister, Philipp [1 ,2 ]
Mueller, Klaus-Robert [5 ,6 ]
Klauschen, Frederick [1 ,2 ,3 ,4 ,6 ]
机构
[1] Ludwig Maximilians Univ Munchen, Pathol Inst, Thalkirchner Str 36, D-80337 Munich, Germany
[2] Charite Univ Med Berlin, Inst Pathol, Berlin, Germany
[3] Deutsch Konsortium Translat Krebsforsch DKTK, Partnerstandort Munchen, Munich, Germany
[4] Deutsch Krebsforschungszentrum DKFZ, Munich, Germany
[5] Tech Univ Berlin, Berlin, Germany
[6] Berlin Inst Fdn Learning & Data BIFOLD, Berlin, Germany
来源
PATHOLOGIE | 2022年 / 43卷 / 03期
关键词
Artificial intelligence; Digital pathology; Immunohistochemistry; Molecular pathology; Machine Learning;
D O I
暂无
中图分类号
R36 [病理学];
学科分类号
100104 ;
摘要
Given the rapid developments, there is no doubt that artificial intelligence (AI) will substantially impact pathological diagnostics. However, it remains an open question if AI will primarily be another diagnostic tool, such as immunohistochemistry, or if AI will also be able to replace human expertise. Most current studies on AI in histopathology deal with relatively simple diagnostic problems and are not yet capable of coping with the complexity of routine diagnostics. While some methods in molecular pathology would already be unthinkable without AI, it remains to be shown how AI will also be able to help with difficult histomorphological differential diagnoses in the future.
引用
收藏
页码:218 / 221
页数:4
相关论文
共 50 条
  • [31] Application of Artificial Intelligence in Lung Cancer
    Chiu, Hwa-Yen
    Chao, Heng-Sheng
    Chen, Yuh-Min
    CANCERS, 2022, 14 (06)
  • [32] Production system efficiency optimization through application of a hybrid artificial intelligence solution
    Cavalcanti, Joao Henrique
    Kovacs, Tibor
    Ko, Andrea
    Pocsarovszky, Karoly
    INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING, 2024, 37 (06) : 790 - 807
  • [33] The coming 15 years in gynaecological pathology: digitisation, artificial intelligence, and new technologies
    Farnell, David A.
    Huntsman, David
    Bashashati, Ali
    HISTOPATHOLOGY, 2020, 76 (01) : 171 - 177
  • [34] Suboptimal Chest Radiography and Artificial Intelligence: The Problem and the Solution
    Dasegowda, Giridhar
    Kalra, Mannudeep K.
    Abi-Ghanem, Alain S.
    Arru, Chiara D.
    Bernardo, Monica
    Saba, Luca
    Segota, Doris
    Tabrizi, Zhale
    Viswamitra, Sanjaya
    Kaviani, Parisa
    Karout, Lina
    Dreyer, Keith J.
    DIAGNOSTICS, 2023, 13 (03)
  • [35] Use of Artificial Intelligence as a Problem Solution for Maritime Transport
    Jurdana, Irena
    Krylov, Artem
    Yamnenko, Julia
    JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2020, 8 (03)
  • [36] Cotton Price Prediction: An Artificial Intelligence Based Solution
    Ayyappa, Praveen
    Vajha, Anusha
    Reddy, Preethi
    Venkat, Sandeep
    PROCEEDINGS OF THE 2021 FIFTH INTERNATIONAL CONFERENCE ON I-SMAC (IOT IN SOCIAL, MOBILE, ANALYTICS AND CLOUD) (I-SMAC 2021), 2021, : 589 - 593
  • [37] An Artificial Intelligence Solution For Reduce Complications at Tissue Expansion
    Ugurlutan, Rifat
    Ayaz, Murat
    2019 MEDICAL TECHNOLOGIES CONGRESS (TIPTEKNO), 2019, : 98 - 101
  • [38] Application of Artificial Intelligence in Healthcare: The Need for More Interpretable Artificial Intelligence
    Tavares, Jorge
    ACTA MEDICA PORTUGUESA, 2024, 37 (06) : 411 - 414
  • [39] The promise of artificial intelligence: a review of the opportunities and challenges of artificial intelligence in healthcare
    Aung, Yuri Y. M.
    Wong, David C. S.
    Ting, Daniel S. W.
    BRITISH MEDICAL BULLETIN, 2021, 139 (01) : 4 - 15
  • [40] An Artificial Intelligence Solution for Electricity Procurement in Forward Markets
    Theate, Thibaut
    Mathieu, Sebastien
    Ernst, Damien
    ENERGIES, 2020, 13 (23)