Abstract
Artificial intelligence (AI) is transforming nearly every domain of medical practice, and homoeopathy is no exception. Its impact is evident across undergraduate (UG) and postgraduate (PG) education, research activities, and day-to-day clinical practice. This integration is setting new standards for precision, personalization, and evidence-based practice while presenting novel challenges for ethical, holistic care. Homoeopathy is a branch of medical science which is based on the principle of similarity. A collection of technologies known as artificial intelligence (AI) give computers the capacity to carry out a wide range of sophisticated tasks, such as seeing, comprehending, and translating spoken and written language, analyzing data, formulating suggestions, and more.
Keywords- Artificial intelligence, Homoeopathy
Introduction
Artificial intelligence involves making softwares that can reason, learn, and behave in ways that would typically need human intelligence or that involve data whose scale exceeds what humans can evaluate. There are various ways to organize artificial intelligence based on the activities or stages of growth. Reactive machines are limited artificial intelligence systems that simply respond to various inputs in accordance with preset rules. Memory constraints: The majority of contemporary AI is thought to have limited memory. By being taught with fresh data, usually using an artificial neural network or another training model, it can use memory to get better over time. Although AI does not yet exist, research into its potential is still ongoing. It talks about artificial intelligence (AI) that can mimic the human mind and make decisions just as well as a person, including identifying and remembering emotions and responding appropriately in social settings. An advancement above theory of mind Self-aware AI. There is currently no self-aware AI, similar to theory of mind AI.
Undergraduate Level
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- Improvement of Education
AI-powered learning platforms make theoretical topics easier for students to understand by providing interactive modules, simulations, and exams that are suited to the homoeopathy curriculum. Chatbots and virtual instructors improve interest and comprehension by responding to student questions, breaking down difficult medical topics, concepts and conducting scenario-based lessons. Having access to AI-powered digital repositories allows for quick, index-based searching throughout extensive homeopathic textbooks and publications.
- Improvement of Education
- Development of Clinical Skills
AI-powered virtual patient simulations give students immediate feedback while they practice case-taking and repertorization. AI-assisted training can improve case individualization by assisting in the comprehension of symptom complexes and medicine selection.
Postgraduate Level
- Advanced Learning Tools
AI-driven systems aid PG students in managing vast amounts of clinical data, analyzing intricate case histories, and drawing deeper connections between symptoms and remedies. PG Students can prepare Powerpoint Presentations faster than ever with the help of AI. Intelligent literature summarization tools filter relevant research for thesis work, making literature reviews more efficient.
- Research Skill Development
Machine learning models are used for data mining large clinical datasets, helping postgraduate students in the design and analysis of research projects and clinical trials. AI can assist with statistical analyses and pattern recognition, supporting the development of new, more precise homeopathic hypotheses. Teaching Training Modules can help PG students to learn how to teach UG students effectively which is a part of PG Curriculum.
Homoeopathy Research
- Data Analysis and Pattern Recognition
AI enables the analysis of large-scale patient data, clinical trial results, and published literature, identifying correlations that might be missed through manual analysis.
- Innovation in Homeopathic Science
Discovery of new remedies: By examining thousands of case records and symptom profiles, AI can identify potential new therapeutics and propose novel uses for existing ones.
- Enhanced validation
AI helps process real-world evidence from clinics, contributing to the scientific validation of homeopathic interventions and customization of remedy protocols.
Clinical Practice
- Individualized Medical Attention
Precise analysis of patient histories and symptom complexes is made possible by AI-supported systems, which facilitate personalized remedy recommendations that are central to the homoeopathic philosophy. Continuous patient monitoring made possible by integration with wearable health technology enables treatment regimens to be modified in real time in response to changing symptom patterns. Digital tools facilitate the repertorization process by rapidly searching through a variety of materia medica sources and repertories.
- Operational Effectiveness
By automating follow-up, patient record management, and appointment scheduling, AI-enabled solutions free up practitioners to focus more on patient connection.
Natural Language Processing (NLP) tools facilitate the management of voluminous clinical notes and the creation of structured case summaries. AI is also used in quality control during remedy preparation to guarantee batch safety and consistency.
- Medical Imaging (X-rays, CT Scans, MRIs)
- Enhanced Detection of Abnormalities: AI algorithms, particularly deep learning and convolutional neural networks (CNNs), are trained on vast datasets of medical images. This allows them to identify subtle patterns, anomalies, and early signs of diseases (like cancerous nodules, fractures, or cardiovascular conditions) that might be missed by the human eye.
- Faster Interpretation and Reduced Workload: AI tools can process and analyze images much faster than humans, flagging critical findings and prioritizing urgent cases. This significantly reduces the workload for radiologists and allows them to focus on complex cases, leading to quicker diagnoses and treatment planning.
- Improved Consistency and Accuracy: AI can provide consistent and detailed analysis, reducing variability in diagnoses among different practitioners. This leads to more reliable and uniform interpretations.
- Blood Reports and Other Lab Diagnostics
- Faster and More Accurate Analysis: AI can quickly analyze complex blood test results and other lab data, identifying patterns and correlations that might indicate conditions like diabetes, infections, kidney diseases, or even early signs of more serious illnesses.
- Automating Workflows and Prioritization: AI can automate administrative tasks in pathology labs, such as data entry and case sorting. It can also triage high-risk samples, ensuring that pathologists review critical cases first.
- Enhanced Diagnostic Precision in Pathology: In digital pathology, AI can analyze thousands of pathology slides in minutes, identifying cancerous cells, counting specific cell types, and quantifying biomarkers with high accuracy, assisting pathologists in diagnosing diseases like cancer.
Few Ai Softwares For Homoeopathic Physician
- Homeopathic.AI
Uses AI to match unique symptom profiles with the most suitable homeopathic remedies. The platform sifts through vast repositories of homeopathic literature and case studies, offering personalized wellness recommendations and remedy selection based on patient data.
- Homeo GPT
This AI-based technology, which was created by professionals and specifically educated on more than 120 homeopathic texts, helps practitioners diagnose and cure complicated illnesses. It saves a great deal of consultation time by offering quick and accurate treatment recommendations from a database of over 3,500 medications.
- Tools for AI-Assisted Diagnosis
These days, a number of AI systems examine the symptoms, emotions, and lifestyle aspects of patients before comparing the results with complex databases of remedies. These tools can decrease practitioner bias and oversight while increasing diagnosis speed and accuracy.
- Drlogy Homeopathic
Software is cloud-based software designed specifically for homeopathic clinics. It has features like automatic appointment booking, follow-up reminders, remedy monitoring, advanced case-taking (including constitutional and psychosocial data), and integrated pharmacy administration. The platform enhances treatment adherence and facilitates comprehensive recordkeeping.
- AI Chatbots and Digital Assistants
New chatbots like those from Copilot.Live and YesChat.AI harness AI to provide instant guidance for remedy selection, answer patient queries, and support homeopathic doctors in digital consultations with personalized advice and recommendations
References
- Arya, D. M. (2024). Artificial intelligence in homoeopathy-the end of the beginning? African Journal of Biomedical Research: AJBR, 27(4S), 4409–4413. https://doi.org/10.53555/ajbr.v27i4s.3839
- Bengal), W., & Bengal., W. (n.d.). Dr. Titli Roy. Worldwidejournals.com. Retrieved 19 July 2025, from https://www.worldwidejournals.com/international-journal-of-scientific-research-(IJSR)/recent_issues_pdf/2024/July/the-role-of-artificial-intelligence-in-homoeopathic-system-of-medicine-a-review_July_2024_7422310469_5609458.pdf
- Mala, M., Thebar, J., Arora, M., Roy, B., & Singh, R. (n.d.). Impact of artificial intelligence in homeopathy. Ijmrap.com. Retrieved 19 July 2025, from http://ijmrap.com/wp-content/uploads/2025/04/IJMRAP-V7N10P126Y25.pdf
- What is artificial intelligence (AI)? (n.d.). Google Cloud. Retrieved 19 July 2025, from https://cloud.google.com/learn/what-is-artificial-intelligence
AUTHOR
DR SUSHIL KUMAR RAJBHAR MD SCHOLAR , DEPARTMENT OF HOMOEOPATHIC REPERTORY & CASE TAKING, GOVERNMENT HOMOEOPATHIC MEDICAL COLLEGE & HOSPITAL BHOPAL (M.P)
