A practical guide to apply AI in childhood cancer: Data collection and AI model implementation

A practical guide to apply AI in childhood cancer: Data collection and AI model implementation

Childhood cancer is a leading cause of death in children, and the increasing availability of digital healthcare data, coupled with rapid progress in artificial intelligence (AI), brings a transformative opportunity to revolutionise its diagnosis, treatment and ultimately improve patient outcomes by...

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Bibliographic Details
Main Authors: Shuping Wen, Stefan Theobald, Pilar Gangas, Karina C. Borja Jiménez, Johannes H.M. Merks, Reineke A. Schoot, Marcel Meyerheim, Norbert Graf
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:EJC Paediatric Oncology
Subjects:
Childhood cancer
Paediatric cancer
Artificial intelligence
Machine learning
Healthcare data
Regulatory Framework
Online Access:http://www.sciencedirect.com/science/article/pii/S2772610X24000576
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