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[Artificial intelligence in pathological anatomy].

I A Solovev1

  • 1Pitirim Sorokin Syktyvkar State University, Syktyvkar, Russia.

Arkhiv Patologii
|April 9, 2024
PubMed
Summary

Weak artificial intelligence (AI) significantly enhances digital pathology diagnostics and prognosis for neoplasms. While strong AI shows promise, current weak AI excels in speed and accuracy, though challenges in implementation and validation remain.

Keywords:
AI pathologist’s assistantWSI analysisartificial intelligencedeep machine learningneural networkspathological anatomy

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Area of Science:

  • Pathological Anatomy
  • Artificial Intelligence in Medicine
  • Digital Pathology

Background:

  • The integration of artificial intelligence (AI) is transforming pathological anatomy, offering new tools for diagnosis and prognosis.
  • Understanding the distinct capabilities of weak AI versus strong AI is crucial for advancing computer-aided pathological analysis.

Approach:

  • A comprehensive review of global developments in AI for pathological anatomy.
  • Examination of experimental algorithms utilizing deep machine learning and computer vision for Whole Slide Images (WSI).
  • Analysis of diagnostic and prognostic applications of AI in malignant neoplasms.

Key Points:

  • Weak AI demonstrates superior performance in accelerating and refining diagnostic procedures in digital pathology compared to strong AI.
  • Current strong AI, while possessing general intelligence traits, is less effective in practical pathological applications at this stage.
  • Future AI development for pathology may involve large language models like ChatGPT (PathAsst), Flan-PaLM2, and LIMA.

Conclusions:

  • Weak AI currently offers tangible benefits for diagnostic efficiency and accuracy in pathological anatomy.
  • Key challenges include equipping pathology institutions, training AI experts, and establishing clinical validation criteria for AI technologies.
  • Further research into AI assistants, particularly those based on large language models, is warranted for future advancements.