Work

Applications and prospects of artificial intelligence and digital medicine in pediatric nasal skull base tumors

Year: 2026

Type: article

Abstract: Pediatric nasal skull base tumors are rare and difficult to diagnose early due to their deep anatomical location and children's limited ability to describe symptoms. When the tumors progress to advanced stages, nonspecific symptoms such as nasal congestion, nosebleeds, and facial swelling are easily confused with sinusitis or trauma, complicating diagnosis and treatment. Moreover, the special tumor anatomical location and the narrow nasal cavity in children increase the risk of tumor involvement with the surrounding structures. Given children's longer life expectancy and higher postoperative quality of life demands, personalized treatment and comprehensive medical management are essential. Advances in artificial intelligence (AI) and digital medicine have played an important role in early diagnosis, multidisciplinary treatment, prognosis assessment, and follow-up. However, despite the widespread use of emerging AI-related technologies, their application in pediatric nasal skull base tumors remains limited. This review discusses the potential applications of AI and digital medicine in the whole-process medical management of these tumors, including diagnosis, treatment, prognosis, and follow-up, along with current challenges.

Source: Pediatric Investigation

DOI: 10.1002/ped4.70068

Authors: Xiuping Wu, Jing Wei, Chen Liu, Pengpeng Wang, Wentong Ge, Yang Han

Institutions: Capital Medical University, Beijing Children’s Hospital

Language: English

Topic: Head and Neck Surgical Oncology

Subfield: Surgery

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $2,000