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Artificial intelligence in prostate histopathology: where are we in 2021?
André Oszwald1, Gabriel Wasinger1, Benjamin Pradere2
1Department of Pathology.
Current Opinion in Urology
|May 9, 2021
Summary
Artificial intelligence (AI) shows promise in prostate cancer detection, potentially outperforming pathologists. Further clinical validation is needed, but AI may soon standardize routine tasks and enhance pathologist performance.
Area of Science:
- Pathology
- Medical Imaging
- Artificial Intelligence
Background:
- Artificial intelligence (AI) is increasingly integrated into daily life, yet its clinical application in histological analysis remains nascent.
- Recent advancements show significant potential for AI in pathology, particularly for prostate cancer diagnosis.
Purpose of the Study:
- To review the initial impact of AI on pathologists' clinical performance in analyzing prostate tissue.
- To identify challenges in AI deployment and explore its role in generating human-interpretable knowledge.
Main Methods:
- Review of current literature and emerging trends in AI-assisted prostate cancer diagnosis.
- Analysis of AI's potential benefits and limitations in clinical pathology settings.
Main Results:
- AI demonstrates potential to exceed pathologist accuracy in prostate cancer detection, without interobserver variability.
- AI may automate and standardize routine tasks like Gleason Grading and tumor volume quantification.
- Large-scale clinical validation studies are essential to confirm AI's benefits.
Conclusions:
- AI holds significant potential to revolutionize prostate cancer diagnosis and analysis.
- A hybrid model, where pathologists are augmented by AI tools, appears most promising for the near future.
- AI can enhance diagnostic accuracy, efficiency, and standardization in pathology.
