ARTIFICIAL INTELLIGENCE AND HOMOEOPATHY: EMERGING CHALLENGES, MISINTERPRETATIONS, AND THE RISK OF CLINICAL MISGUIDANCE

Abstract

Artificial Intelligence (AI) is increasingly being integrated into healthcare systems, including complementary and alternative medicine.¹ While AI offers automation, rapid data processing, and decision-support capabilities, its application in Homoeopathy presents unique philosophical and clinical challenges. Homoeopathy is founded upon principles of individualization, totality of symptoms, miasmatic background, and dynamic potency selection as described by Samuel Hahnemann in the Organon of Medicine_.² AI systems frequently rely on generalized symptom–disease correlations, which may oversimplify homoeopathic case analysis. This paper critically examines how AI may misrepresent core homoeopathic principles, particularly in repertorisation, potency selection, dosage, and constitutional prescribing. It further discusses the ethical and clinical implications of AI-driven self-medication and emphasizes the need for professional oversight in integrating AI into homoeopathic practice.