Digitalization and Artificial Intelligence in Homeopathic Case Analysis and Repertorization

Abstract

The traditional process of case-taking and repertorization in homeopathy is time-consuming and relies heavily on practitioner intuition. With the emergence of digital tools and artificial intelligence (AI), modern homeopathy is undergoing a transformation. This paper explores how software platforms and AI algorithms assist in remedy selection, symptom correlation, and patient record management. The integration of technology has improved diagnostic accuracy, reduced human error, and allowed for more personalized treatment plans.

KEYWORDS: Homeopathy, Artificial Intelligence, Digital Repertorization, Case Analysis, Homeopathic Software, Decision Support Systems