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@article{206389,
        author = {Dr. Bhavneshkumar Bhatt and Dr. Jayenta Nandi and Dr. Anupkumar Das},
        title = {Integrating AI-Powered Mobile Food-Symptom Diaries into Homeopathic Practice of Medicine for Irritable Bowel Syndrome (IBS): A Clinical Framework},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {2},
        pages = {1146-1148},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=206389},
        abstract = {Background: Irritable Bowel Syndrome (IBS) is a widespread functional gastrointestinal disorder characterized by recurrent abdominal pain, bloating, and altered bowel habits. In classical Homeopathic Practice of Medicine, successful treatment relies deeply on precise individualisation and the comprehensive identification of specific dietary triggers or emotional stressors (Exciting Causes). However, traditional case-taking methodology heavily depends on patient memory and subjective tracking, leading to widespread recall bias and therapeutic delays. Objective: This paper introduces an innovative technological framework integrating Artificial Intelligence (AI)-powered mobile food-and-symptom tracking applications into the modern homeopathic clinical workflow for IBS management. Methodology: A structured clinical blueprint is proposed where patients utilize automated digital logs with computer vision image recognition to seamlessly track complex meal compositions, transient emotional states, and exact stool consistency (via the digitalized Bristol Stool Chart) over a 14-day baseline period. The physician analyzes this AIcorrelated cloud data dashboard during clinical evaluation to identify objective individualised symptom patterns.
Conclusion: Blending modern machine-learning pattern recognition tools with holistic homeopathic principles eliminates subjective charting errors, enhances case-taking accuracy, provides scientific documentation, and significantly improves long-term clinical prognosis in managing functional metabolic disorders.},
        keywords = {Practice of Medicine, Irritable Bowel Syndrome (IBS), Artificial Intelligence, Homeopathy, Digital Health, CaseTaking, Computational Dermatology.},
        month = {July},
        }