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Home > Archives > Volume 20, No 5 (2022) > Article

DOI: 10.14704/nq.2022.20.5.NQ22224

An Amalgamation of Ayurveda and Evidence-based Medicines with Artificial Intelligence and Machine Learning: A Synergistic Approach for Less Expensive and Effective Diagnosis Approaches

H.M. Manjulaa, Dr.S.P. Ananda Raj

Abstract

Technology plays a very important key role in various diagnosis processes. For example, capturing the patient information, maintaining the electronic health records for further diagnostic references, improving the clinical diagnosis process, and reducing diagnostic errors when technology is applied in the right ways with proper knowledge of technology. In this proposed work, the design of the integrated analysis process of Ayur’veda and Western method of diagnosis by using the current technologies such as Artificial Intelligence and Machine Learning techniques are discussed. This integration process ensures that technologies simplify the timely and accurate diagnosis process. Integration of the Ayurveda and Evidence-based western medicines has become very much necessary and important in today’s situation. But, during this process, one should not disturb the basic principles of both Indian Traditional Medicine and Evidence-based medicine. During integration, the best of best diagnosis approaches in both the fields are chosen with disease management, disease prevention, and protection which create a healthy society by developing healthcare with less expensive and less toxic. The amalgamation approach will be more effective than concentrating on just one diagnostic method.

Keywords

Amalgamation, Ayurveda, Evidence-based Medicine, Artificial Intelligence, Machine Learning

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