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Artificial intelligence and frozen section histopathology: A systematic review
Benjamin G Gorman1,2, Mark A Lifson3, Nahid Y Vidal4,5
1Mayo Clinic Alix School of Medicine, Rochester, Minnesota, USA.
Journal of Cutaneous Pathology
|July 3, 2023
Summary
Machine learning models show promise for interpreting frozen section images, with convolutional neural networks performing best. Combining AI with physician expertise may enhance histopathology diagnostics.
Area of Science:
- Pathology
- Artificial Intelligence
- Machine Learning
Background:
- Frozen sections are valuable in pathology but face challenges with variable image quality impacting AI/ML interpretation.
- Current research explores the application of machine learning models to analyze frozen section images.
Conclusions:
- Machine learning is applicable to frozen section image processing, and these images can enhance model generalizability.
- Collaborative approaches integrating expert physicians with AI tools represent a potential future direction for frozen section histopathology.
