Applications of artificial intelligence in pediatric surgical pathology: A systematic review

jpedsurg.org

Artificial Intelligence (AI) techniques can transform and enhance diagnosis and treatment response predictions in pediatric surgical pathology. AI offers the potential to reduce the workload of pathologists by automating routine and labor-intensive tasks. In this systematic review, we investigate current applications of computational pathology in pediatric surgical conditions.

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Article · Feb 2026 · 1 min read

In brief

This systematic review examines how AI and machine learning are being applied to pediatric surgical pathology, focusing on diagnostic automation and treatment prediction capabilities. The review explores AI's potential to streamline pathologist workflows by handling routine tasks while improving diagnostic accuracy in pediatric surgical conditions.

AI can automate routine pathology tasks, reducing pathologist workload in pediatric surgical cases.
Computational pathology shows promise for enhancing diagnostic accuracy in pediatric surgical conditions.
AI techniques may improve treatment response predictions for pediatric surgical pathology cases.

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