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
  • [21] Artificial Intelligence Helps Pathologists Increase Diagnostic Accuracy and Efficiency in the Detection of Breast Cancer Lymph Node Metastases
    Retamero, Juan Antonio
    Gulturk, Emre
    Bozkurt, Alican
    Liu, Sandy
    Gorgan, Maria
    Moral, Luis
    Horton, Margaret
    Parke, Andrea
    Malfroid, Kasper
    Sue, Jill
    Rothrock, Brandon
    Oakley, Gerard
    Demuth, George
    Millar, Ewan
    Fuchs, Thomas J.
    Klimstra, David S.
    AMERICAN JOURNAL OF SURGICAL PATHOLOGY, 2024, 48 (07) : 846 - 854
  • [22] ARTIFICIAL INTELLIGENCE AND LAW: A COMPUTATIONAL SOLUTION CAPABLE OF PREDICTING JUDICIAL DECISIONS
    Menon, Luciana Trinkaus
    de Souza Britto, Melina Carla
    Moreira, Guilherme Martelli
    da Cruz, Fabricio Bittencourt
    HUMANIDADES & INOVACAO, 2021, 8 (47): : 151 - 167
  • [23] Evaluation of urban transportation carbon footprint - Artificial intelligence based solution
    Wang, Huan
    Wang, Xinyu
    Yin, Yuanxing
    Deng, Xiaojun
    Umair, Muhammad
    TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT, 2024, 136
  • [24] Regulating artificial intelligence: Proposal for a global solution
    Erdelyi, Olivia J.
    Goldsmith, Judy
    GOVERNMENT INFORMATION QUARTERLY, 2022, 39 (04)
  • [25] Artificial Intelligence Solution for Relaxation Oscillation Equation
    Kalaiyarasi, A.
    Raj, V. Joseph
    Devi, S. Sindu
    Anton, V. J. Joliz
    CONTEMPORARY MATHEMATICS, 2024, 5 (02): : 1355 - 1362
  • [26] Applying Artificial Intelligence in Retrieving Design Solution
    Moubachir, Y.
    Hamri, B.
    Taibi, S.
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2022, 13 (01) : 439 - 444
  • [27] Evaluating Artificial Intelligence on the Efficacy of Preference Assessments for Preservice Speech-Language Pathologists
    Griffen, Brenna
    Lorah, Elizabeth R.
    Holyfield, Christine
    Caldwell, Nicolette
    Nosek, John
    JOURNAL OF DEVELOPMENTAL AND PHYSICAL DISABILITIES, 2024,
  • [28] How artificial intelligence is transforming nephrology
    Hueso, Miguel
    Vellido, Alfredo
    BMC NEPHROLOGY, 2024, 25 (01)
  • [29] Artificial Intelligence and Pathomics: Prostate Cancer
    Moghadam, Puria Azadi
    Bashashati, Ali
    Goldenberg, S. Larry
    UROLOGIC CLINICS OF NORTH AMERICA, 2024, 51 (01) : 15 - 26
  • [30] Applying artificial intelligence for cancer immunotherapy
    Xu, Zhijie
    Wang, Xiang
    Zeng, Shuangshuang
    Ren, Xinxin
    Yan, Yuanliang
    Gong, Zhicheng
    ACTA PHARMACEUTICA SINICA B, 2021, 11 (11) : 3393 - 3405