1 Department of Electronics and Communications, Kanpur Road, Bundelkhand University, Jhansi, Uttar Pradesh 284128, India.
2 Scientistic Era (Research & Development) Firm, Bahadurgarh, Haryana-124507, India.
3 Department of Panchakarma Regional Ayurveda Research Institute, Gwalior (M.P.-474001) India.
4 Department of Biotechnology, Kanpur Road, Bundelkhand University, Jhansi, Uttar Pradesh 284128, India.
Review Article
World Journal of Advanced Research and Reviews, 2024, 23(03), 2426-2434
Received on 11 August 2024; revised on 22 September 2024; accepted on 25 September 2024
The merging of traditional medicine, electronic gadgets, artificial intelligence (AI), and conventional medicine is changing the face of healthcare globally. Traditional medicine, which is renowned for its accuracy and research-backed methodology, is increasingly being supplemented with the holistic and preventative techniques of ancient medicinal systems like Ayurveda and Unani. The integration of wearable gear with AI enhances healthcare delivery by making diagnoses more precise, enabling patients to have their treatment plans tailored to their specific needs, and enabling remote patient monitoring. This review aims to explore how advancements in communication technology, AI-driven diagnostics, and contemporary pharmacology are assisting in merging conventional and traditional healthcare methods. Ethical concerns, including as data privacy, AI biases, and the veracity of traditional medications, are examined through the lens of critical analysis. A unified healthcare system that incorporates the best features of both models can improve medical treatment in many ways, including personalization, accessibility, and efficiency.
AI; Communication technologies; Conventional medicine; Ethical considerations; Traditional healing practices; Wearable technologies
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Ayush Singh, Sudhanshu Kumar Jha, Pramod Chandra Dwivedi, Utkarsh Srivastava and Akash Pal. Revolutionizing healthcare: Integrating Electronics, AI, traditional, and conventional methods. World Journal of Advanced Research and Reviews, 2024, 23(3), 2426-2434. Article DOI: https://doi.org/10.30574/wjarr.2024.23.3.2919