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Pros and cons of artificial intelligence implementation in diagnostic pathology
Paul J van Diest1, Rachel N Flach1,2, Carmen van Dooijeweert1
1Department of Pathology, University Medical Center Utrecht, Utrecht, the Netherlands.
Histopathology
|March 3, 2024
Summary
Artificial intelligence (AI) in pathology shows promise for diagnostics but raises questions about routine implementation. This review examines the advantages and disadvantages of integrating AI into diagnostic pathology workflows.
Area of Science:
- Digital pathology and artificial intelligence (AI) in medical diagnostics.
Background:
- Digital pathology has accelerated the development of AI models for pathology.
- AI shows significant potential in aiding morphological diagnostics and quantifying therapeutic targets.
Purpose of the Study:
- To review the advantages and disadvantages of incorporating AI into diagnostic pathology.
- To assess the readiness of the pathology community for AI implementation in routine workflows.
Main Methods:
- Literature review of AI applications in diagnostic pathology.
- Analysis of current market trends and community preparedness for AI integration.
Main Results:
- AI models demonstrate promise in assisting with diagnostic tasks and target quantitation.
- Concerns exist regarding the practical implementation and acceptance of AI in routine pathology.
Conclusions:
- The field is at a critical juncture with AI algorithms entering the market.
- A balanced consideration of AI's pros and cons is essential for successful adoption in diagnostic pathology.
