Applications of artificial intelligence in pediatric surgical pathology: A systematic review
Topic overview
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.
Key takeaways
- - AI can automate routine pathology tasks, reducing pathologist workload in pediatric surgical settings. - Computational pathology shows promise for enhancing diagnostic accuracy in pediatric surgical conditions. - AI techniques may improve treatment response predictions for pediatric surgical pathology cases. - Current AI applications in pediatric surgical pathology are still emerging and require systematic evaluation.
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How to cite: GlobalCastMD. Applications of artificial intelligence in pediatric surgical pathology: A systematic review. GlobalCastMD Medical Library. 2026-02-03. https://library.globalcastmd.com/article/11451
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