Artificial intelligence (AI) is increasingly recognized as a transformative force in healthcare, with growing relevance in palliative care. This article examines the clinical potential, current applications, risks, and ethical preconditions associated with AI implementation in this sensitive field. AI-driven systems enhance personalized symptom management by analyzing large datasets derived from electronic health records (EHRs), patient-reported outcomes, and clinical assessments. Machine learning algorithms identify patterns in symptom trajectories and treatment responses, enabling individualized care plans. Reported median prognostic accuracies range between 78% and 83% for survival prediction in advanced illness populations, while prediction of treatment response and pain management outcomes achieves approximately 80–85% accuracy. AI applications also contribute to caregiver support through chatbots and digital platforms providing continuous informational and emotional assistance, and to system-level improvements via symptom-tracking applications, virtual reality tools, and AI-supported care coordination systems. Furthermore, AI strengthens research capacity by enabling large-sc
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