Abstract
Artificial Intelligence or AI is a field of computer science that enables systems exhibiting and interpreting data based on human interaction, pattern recognition and logical inputs. AI uses algorithms based on data input by humans and functions autonomously based on past experiences. It recognises and learns from successive outputs thereby enhancing the cognitive interpretation and predicting outcomes. It basically is a scientific model constructed by human logic that can learn and give outcomes via its subsets Machine Learning (ML) and Deep Learning (DL). AI in homoeopathy is an innovative step leading to a refined remedy selection. Using advanced diagnostic systems, repertorisation software, and symptoms analysis tools one can enhance the precision and efficiency of prescribing. But is AI really a blessing or a tool undermining human expertise and proficiency for a holistic science like homoeopathy is yet to be acknowledged.
Keywords– AI, Homoeopathy
Introduction
The horizon of healthcare has always been on the rise developing creative strategies to tackle and manage the shortcomings in the medical practice. The need for groundbreaking refinements puts us on a continuous lookout for tools that enhance our efficiency. AI is one such technology that delves deep into the data input by humans producing calculated outputs. Homoeopathy is a holistic system of medicine that has been practised for over two centuries now. It is based on the principles of like cures like, dynamization and individualisation where the person is treated as a whole. It takes into consideration the emotional as well as the mental well being of the patient and therefore there is always a different remedy despite the same disease. The integration of AI into homoeopathy serves multiple purposes for a practitioner. From seeking vast volumes of materia medica, repertory or drawing insights from the Organon of medicine to taking experiential conclusions from previous cases. However, there are still some domains where AI wouldn’t sabotage human efficiencies such as in case taking where AI-assisted decision making may somewhere lack. Nevertheless AI in homoeopathy carries a vast potential in elevating homoeopathic practice globally with a holistic approach.[1]
Some ways in which AI can be helpful in homoeopathy are-
Diagnostic clearance and patient assessment
AI offers various tools today for easy and rapid diagnosis of a disease. Tools like QuantX, Arterys Oncology DL, and Google DeepMind AI are quick and safe methods to detect malignancies in breast, lung and liver cancers. When a patient walks in with a mammography scan, we can readily identify and chalk out the pathological stage of the disease for appropriate treatment. AI had been an immensely helpful tool during the COVID era where even normal chest CT (Computed Tomography) scans when combined with potential case history gave a rapid and accurate diagnosis. This was unusually helpful during the time when RT-PCR took two days for the result and a huge shortage of RT-PCR kits had been identified.[2]
Histopathological and radiological imaging
Various clinical AI tools are specified for histopathological assessment to detect the staging of cancer. One such Chat GPT-like AI tool is CHIEF (Clinical Histopathology Imaging Evaluation Foundation) which helps evaluate pathology, guide treatment protocols and predict survival and prognosis across different cases.[3]
Patient record keeping
Through regular interaction, patients can systematically log their symptoms, note changes in their physical and emotional states, record prescribed remedies, and document dosage patterns and timelines. Additionally, patients may also track their responses to treatment, including subtle improvements, aggravations, or new symptoms, which are often crucial in homoeopathic case analysis. Maintaining such structured and chronological records enables patients to gain greater awareness of their own health patterns and treatment progress. This detailed documentation also enhances the quality of follow-up consultations, as homoeopathic practitioners can access clear, comprehensive information regarding the patient’s history and response to remedies, thereby reducing reliance on memory alone.
Training and education
Artificial Intelligence tools can further help homoeopathy students to gain insights through interactive learning sessions, studying drug pictures, and recognising the integration of conventional medicine and other alternative systems of medicine. Various case-taking tools and virtual patient simulation may help them learn the basics of pathology and physiology while incorporating the organon of medicine, materia medica and repertory in learning to derive a similimum. Moreover, AI can help practitioners refine skills by incorporating learnings from novel research, statistics and updating resources.
Data analysis
AI helps with data collecting, record keeping, and analysis in a methodical framework, which is generally favourable for scientific homoeopathic study. Numerous studies and surveys have shown that it saves a great deal of time, produces the best results, and makes it simple to perform multiple surveys at once.
Enhancing continuity and personalised record
Artificial intelligence can help patient management in homoeopathy by assisting in the documentation of symptoms, remedies, and follow-up responses systematically. It enables periodic and successive tracking of physical and mental changes. This not only helps the patient but the practitioner as well to study and identify the pattern over the course of time. AI tools improve communication during follow-ups by providing organised and accurate health records
Integrating with clinical data
AI has developed systems to read and interpret medical texts and enhance the role of bioinformatics through Natural Language Processing (NLP). This integration with Electronic Health Records (EHR) helps to identify various genetic markers for complex diseases and helps in upholding a record of a disease that aids in statistical analysis of various indicators of health.[4]
Telemedicine
AI-driven virtual assistants and chatbots help in the remote delivery of healthcare services. They provide patients with medical information, symptom checking, and appointment scheduling without any physical restrictions. This gives a vast divulgence of otherwise inaccessible services especially in remote and rural areas of the country.[5]
Volumising efficiency through Repertory and Materia Medica
AI can prove to be beneficial in classifying symptoms, hunting rubrics, repertorisation and suggesting remedy selection across the entirety of the vast homoeopathic literature. It thus becomes time-efficient for the practitioner and enhances the accuracy of the prescription as well.
Pharmacovigilance
Artificial Intelligence can be the primary tool in detecting, evaluating, preventing and combating any adverse drug reactions (ADR) which may arise during the time action period of a drug or due to its abuse. It can help in safe medication by identifying any previous associated risk. AI can also aid in detecting and reporting elements alleging false claims promoting negative marketing of Homoeopathy.
Limitations of Artificial Intelligence in Homoeopathy-
Perceptive skill
The affability of AI has always been advancing mimicking humanistic interactions. We as mortals tend to make decisions based on our past experiences similar to AI. Nevertheless, the curiosity of the human mind to always look out for a novel observation in every patient is a domain that challenges AI.
Counselling and therapies
Apart from remedy prescription, counselling remains another challenging barrier for AI to overcome human intrusion. Various therapies like Cognitive Behavioural Therapy (CBT) and Dialectical Behavioural Therapy (DBT) require human mindfulness to tackle patients and help them recover. Yet another realm for AI to decipher.
Clinical examination
In acute cases, clinical examination plays a primary role in the first prescription when investigation reports may not be available. This can be possible by an experienced clinician and AI can only be used to draw differential diagnosis.
Prospecting emotions
While taking the case, prospecting human emotions plays a significant role in elucidating the mental generals. It demands a lot of cognition and consciousness to dig deep within the layers of human responses, draw inferences and counsel accordingly. This still stands as a limitation for AI in homoeopathy.
Conclusion
The role of AI in Homoeopathy offers both transformative opportunities and notable challenges. In an advancing era of healthcare and Homoeopathy, Artificial Intelligence has a lot to offer. AI carries the strength to revolutionise homoeopathy making it a more competent and accomplished system of medicine. Besides repertorisation and suggesting similimum, it can assist vastly in patient management, telemedicine, exploring new avenues in research, improvising homoeopathic drug preparations, monitoring drug reactions and providing a strong diagnostic and reference source. The accessibility of healthcare at any place is a miraculous consequence of the integration of AI in homoeopathy. Nonetheless, a science with a holistic background may possibly risk the individualised human conscience and mindful observations with such an overreliance on data algorithms specifically where uncertain events demand decision making. Moreover, any biased or incorrect data would lead to incomplete interpretations, thus impacting both the health and the science. It is important for us to recognise the importance of AI in homoeopathic practice but it becomes our responsibility indeed to maintain the integrity of our system of medicine, conserving the ethics and morality of the practice. And as the saying by Sophocles goes “Nothing vast enters the life of mortals without a curse”, we must be vigilant enough before the blessings of technology turn into a poisoned chalice or forbidden permanence itself.
References-
- Panch T, Szolovits P, Atun R. Artificial intelligence, machine learning and health systems. Journal of Global Health. 2018 Oct 21;8(2).
- Mei X, Lee HC, Diao K, Huang M, Lin B, Liu C, et al. Artificial intelligence–enabled rapid diagnosis of patients with COVID-19. Nature Medicine [Internet]. 2020 Aug 1;26(8):1224–8. Available from: https://www.nature.com/articles/s41591-020-0931-3
- Pesheva E. A new artificial intelligence tool for cancer [Internet]. Harvard.edu. 2024. Available from: https://hms.harvard.edu/news/new-artificial-intelligence-tool-cancer
- Sankar AS. AUTOMATED SYMPTOM RECOGNITION: A PROMISING FUTURE FOR HOMOEOPATHY.
- Bishwas R, Shatru A, kumar Dewanshu D, Srivastava SK, Bhutt P, Biswas R. Artificial Intelligence in Homoeopathy: A curse or Blessing, AI Can help the Homoeopath, But It Cannot Replace-An Analytical review.
