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Solovev I.A.

Pitirim Sorokin Syktyvkar State University

Artificial intelligence in pathological anatomy

Authors:

Solovev I.A.

More about the authors

Journal: Russian Journal of Archive of Pathology. 2024;86(2): 65‑71

DOI: 10.17116/patol20248602165

Views: 1487

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Table of contents

To cite this article:

Solovev IA. Artificial intelligence in pathological anatomy. Russian Journal of Archive of Pathology. 2024;86(2):65‑71. (In Russ.)
https://doi.org/10.17116/patol20248602165

Подписка 2025 (Russian Journal of Archive of Pathology)
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The review presents key concepts and global developments in the field of artificial intelligence used in pathological anatomy. The work examines two types of artificial intelligence (AI): weak and strong ones. A review of experimental algorithms using both deep machine learning and computer vision technologies to work with WSI images of preparations, diagnose and make a prognosis for various malignant neoplasms is carried out. It has been established that weak artificial intelligence at this stage of development of computer (digital) pathological anatomy shows significantly better results in speeding up and refining diagnostic procedures than strong artificial intelligence having signs of general intelligence. The article also discusses three options for the further development of AI assistants for pathologists based on the technologies of large language models (strong AI) ChatGPT (PathAsst), Flan-PaLM2 and LIMA. As a result of the analysis of the literature, key problems in the field were identified: the equipment of pathology institutions, the lack of experts in training neural networks, the lack of strict criteria for the clinical viability of AI diagnostic technologies.

Keywords:

WSI analysis
pathological anatomy
AI pathologist’s assistant
deep machine learning
neural networks
artificial intelligence

Authors:

Solovev I.A.

Pitirim Sorokin Syktyvkar State University

Received:

30.10.2023

Accepted:

27.12.2023

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