Artificial intelligence in anatomical pathology: building a strong foundation for precision medicine

被引:14
|
作者
Meroueh, Chady [1 ]
Chen, Zongming Eric [1 ,2 ]
机构
[1] Mayo Clin, Dept Lab Med & Pathol, Div Anat Pathol, Rochester, MN 55905 USA
[2] Mayo Clin, Dept Lab Med & Pathol, Div Anat Pathol, 200 First St SW, Rochester, MN 55905 USA
关键词
Artificial intelligence; Digital pathology; Quantitative image anal-ysis; Whole slide imaging; Machine learning; Deep learning; Convolution neural network; MYCOBACTERIUM-TUBERCULOSIS; RECURRENCE SCORE; CLASSIFICATION; IMMUNE; IMAGES;
D O I
10.1016/j.humpath.2022.07.008
中图分类号
R36 [病理学];
学科分类号
100104 ;
摘要
With the convergence of digital pathology (DP) and artificial intelligence (AI), anatomic pa-thology practice has been experiencing an exciting paradigm shifting. Pathologists will be provided with an augmented ability to improve diagnostic accuracy, efficiency, and consistency. There will be subvisual morphometric features discovered and multiomics data integrated to provide better prog-nostic and theragnostic information to guide individual patients' management. The perspective for future precision medicine is promising. However, there are many challenges before AI-assisted DP diagnostic workflows can be successfully implemented. Herein, we briefly review some examples of AI application in anatomic pathology with an emphasis on the subspecialty of gastrointestinal pathol-ogy and discuss potential challenges for clinical implementation.(c) 2022 Elsevier Inc. All rights reserved.
引用
收藏
页码:31 / 38
页数:8
相关论文
共 50 条
  • [31] Tribulations and future opportunities for artificial intelligence in precision medicine
    Carini C.
    Seyhan A.A.
    Journal of Translational Medicine, 22 (1)
  • [32] Integrating Artificial Intelligence and Nanotechnology for Precision Cancer Medicine
    Adir, Omer
    Poley, Maria
    Chen, Gal
    Froim, Sahar
    Krinsky, Nitzan
    Shklover, Jeny
    Shainsky-Roitman, Janna
    Lammers, Twan
    Schroeder, Avi
    ADVANCED MATERIALS, 2020, 32 (13)
  • [33] Big data, artificial intelligence, and cardiovascular precision medicine
    Krittanawong, Chayakrit
    Johnson, Kipp W.
    Hershman, Steven G.
    Tang, W. H. Wilson
    EXPERT REVIEW OF PRECISION MEDICINE AND DRUG DEVELOPMENT, 2018, 3 (05): : 305 - 317
  • [34] Radiomics with artificial intelligence for precision medicine in radiation therapy
    Arimura, Hidetaka
    Soufi, Mazen
    Kamezawa, Hidemi
    Ninomiya, Kenta
    Yamada, Masahiro
    JOURNAL OF RADIATION RESEARCH, 2019, 60 (01) : 150 - 157
  • [35] Artificial intelligence for precision medicine in autoimmune liver disease
    Gerussi, Alessio
    Scaravaglio, Miki
    Cristoferi, Laura
    Verda, Damiano
    Milani, Chiara
    De Bernardi, Elisabetta
    Ippolito, Davide
    Asselta, Rosanna
    Invernizzi, Pietro
    Kather, Jakob Nikolas
    Carbone, Marco
    FRONTIERS IN IMMUNOLOGY, 2022, 13
  • [36] Artificial intelligence assists precision medicine in cancer treatment
    Liao, Jinzhuang
    Li, Xiaoying
    Gan, Yu
    Han, Shuangze
    Rong, Pengfei
    Wang, Wei
    Li, Wei
    Zhou, Li
    FRONTIERS IN ONCOLOGY, 2023, 12
  • [37] Artificial Intelligence for Drug Development, Precision Medicine, and Healthcare
    Wludyka, Peter
    TECHNOMETRICS, 2020, 62 (04) : 561 - 562
  • [38] Artificial intelligence and machine learning in precision and genomic medicine
    Sameer Quazi
    Medical Oncology, 39
  • [39] Artificial intelligence and digital pathology as drivers of precision oncology (2023)
    Tolkach, Yuri
    Klein, Sebastian
    Tsvetkov, Tsvetan
    Buettner, Reinhard
    ONKOLOGIE, 2023,
  • [40] Introduction to Artificial Intelligence and Machine Learning in Pathology and Medicine: Generative and Nongenerative Artificial Intelligence Basics
    Rashidi, Hooman H.
    Pantanowitz, Joshua
    Hanna, Matthew G.
    Tafti, Ahmad P.
    Sanghani, Parth
    Buchinsky, Adam
    Fennell, Brandon
    Deebajah, Mustafa
    Wheeler, Sarah
    Pearce, Thomas
    Abukhiran, Ibrahim
    Robertson, Scott
    Palmer, Octavia
    Gur, Mert
    Tran, Nam K.
    Pantanowitz, Liron
    MODERN PATHOLOGY, 2025, 38 (04)