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The Dual Edge of AI in Homoeopathic Science: Balancing Digital Logic with the Vital Force.

As the mid-2020s unfold, the ancient discipline of homoeopathy and the rapidly evolving field of artificial intelligence (AI) are meeting in increasingly tangible ways within education, research and clinical practice. Homoeopathy, grounded in the concept of the vital force and the law of similars, r...

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Publicado en:Homoeopathic Heritage Vol. 52; no. 1; pp. 99 - 103
Autor principal: Kandoi, Dhruvi
Formato: Journal Article
Publicado: B. Jain Publishers Pvt. Ltd. Apr2026
Acceso en línea:Ver este registro en EBSCOhost
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        atl: The Dual Edge of AI in Homoeopathic Science: Balancing Digital Logic with the Vital Force.
      aug:
        au: Kandoi, Dhruvi
        affil: PG Scholar, Department of Homoeopathic Materia Medica, Baroda Homoeopathic Medical college and Hospital, Sevasi, Vadodara- 391101
      sug:
        subj:
          Artificial Intelligence
          Homeopathy Methods
          Digital Health
          Individualized Medicine
          Decision Support Systems, Clinical
          Decision Making, Clinical
          Support, Psychosocial
          Ethics, Medical
          Algorithms
          Patient Safety
          Prescribing Patterns
          Narratives
          Accountability
          Documentation
          Deep Learning
          Consent
          Data Security
          Scope of Practice
          Holistic Care
          Patient Centered Care
          Professional Autonomy
          Privacy and Confidentiality
          Medical Informatics
      ab: As the mid-2020s unfold, the ancient discipline of homoeopathy and the rapidly evolving field of artificial intelligence (AI) are meeting in increasingly tangible ways within education, research and clinical practice. Homoeopathy, grounded in the concept of the vital force and the law of similars, relies on detailed individualisation and qualitative understanding of the patient. In contrast, AI systems are designed to recognise generalisable patterns across large datasets and generate probabilistic outputs. This tension creates a dual edge: on one side, AI offers unprecedented support for repertorisation, research analytics and clinical safety nets; on the other, it risks de-individualisation, protocol-driven prescribing and ethical opacity. This article examines how AI can bolster evidence generation, cognitive support and real world data analysis in homoeopathy, whilst also exploring its philosophical and ethical limits. A "high-tech, high-touch" model is proposed in which AI remains a powerful tool serving, rather than replacing, the homoeopathic physician.
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
    language: English
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