Opportunities and challenges in the pathological diagnosis of pediatric tumors in the molecular and artificial intelligence era
10.3760/cma.j.cn112151-20250304-00151
- VernacularTitle:分子与人工智能时代儿童肿瘤病理诊断的机遇和挑战
- Author:
Yuan FANG
1
;
Lejian HE
;
Lian CHEN
Author Information
1. 安徽省儿童医院（复旦大学附属儿科医院安徽医院 安徽省妇幼保健院）病理科，合肥 230051
- Publication Type:Journal Article
- Keywords:
Pediatrics;
Neoplasms;
Pathology;
Molecular medicine;
Artificial intelligence
- From:
Chinese Journal of Pathology
2025;54(11):1124-1129
- CountryChina
- Language:Chinese
-
Abstract:
Pediatric tumors differ significantly from adult cancers, possessing unique developmental origins, histological features, and molecular genetic changes. With the rapid advancement of multi-omics technologies, such as genomics, transcriptomics, proteomics, and epigenetic analyses, the molecular characteristics of pediatric tumors have been extensively revealed, providing new possibilities for precision medicine. Concurrently, the integration of artificial intelligence and digital pathology has effectively enhanced diagnostic accuracy, presenting a broad scope for future development. While this progress positively impacts the pathological diagnosis of pediatric tumors, it also presents challenges related to data complexity, technology integration, and the promotion of clinical applications. This article aims to discuss the influence of molecular and artificial intelligence, as well as multimodal integrated pathological models on diagnosis and prognostic prediction of pediatric tumor, with the goal of fostering further exploration and in-depth research.
