Role of Artificial Intelligence in Homoeopathy: Implementations, Challenges, and Long Term Perspectives

Abstract

Artificial Intelligence (AI) has  become an important technological  tool that supports multiple areas  in homoeopathy, including  clinical practice, education, and  research. In clinical practice, AI  is helping doctors to have easy  analysis of patient data, to find  relevant information, to maintain  digital patient records, remedial  differentiation, focusing on rational  clinical decision-making, area of  research and improving educational  platforms. Recent developments  particularly in Machine Learning,  Natural Language Processing  (NLP), clinical decision-support  systems, and digital Materia Medica  have increased the possibility of  potential combination of AI and  homoeopathy.  

In the area of research, AI can  be useful in the analysis of large  amounts of clinical data, identifying  patterns, developing predictive  models, conducting systematic  reviews, and suggesting new areas  for research. These applications  may help in improving the quality  of research and support the  development of evidence-based  homoeopathic practice. However, at  any cost AI cannot replace the role  of Physician’s ability to understand  patient's unique symptoms,  constitution, emotions, personal  experiences, or to develop the  doctor–patient relationship making  it as just a supportive tool that can  assist doctors, teachers, students,  and researchers without reframing  the basic principles of homoeopathic  care.