In the realm of pediatric brain tumors, the integration of artificial intelligence (AI) has catalyzed a paradigm shift, enriching various facets of clinical care, from detection and diagnosis to treatment response assessment. This book chapter meticulously explores the multifaceted applications of AI in pediatric brain tumor care, encompassing detection, segmentation, classification, differentiation, prognosis, and treatment response evaluation. By delving into the dynamic landscape of biomarkers, spanning imaging, molecular, genetics, and beyond, the chapter illuminates a road toward precision medicine, offering a foundation for refined diagnostics and tailored therapeutic interventions. It is important to highlight that although AI has delivered remarkable advantages to patient care, its widespread integration into healthcare systems presents a myriad of challenges.