Overview

Master AI & Machine Learning for 50% Off

Go under the hood of AI — neural networks, real-world applications & more. Designed by UNSW experts.

Advance your practice with this specialized training program designed for AYUSH practitioners seeking to integrate artificial intelligence tools into traditional medicine systems including Ayurveda, Homeopathy, Yoga, Unani, Siddha, and Naturopathy. Develop the skills to critically evaluate AI diagnostic tools against traditional clinical assessment standards, applying discipline-specific safety frameworks that address Prakriti–Vikriti error correction, simillimum discrepancy management, and Yoga AI contraindication screening. Learn to assess AI drug interaction alerts through the pharmacological lens of each AYUSH system, identify false positives caused by biomedical-model bias in polyherbal and mineral formulation analysis, and utilize AI pharmacovigilance reporting through appropriate discipline-specific platforms. Navigate the Ayush Grid digital ecosystem and A-HMIS modules, explore the role of Ayurgenomics and the Traditional Knowledge Digital Library (TKDL) in AI-enabled knowledge preservation, and master documentation standards required for AI-compatible, interoperable AYUSH clinical records. Examine the regulatory boundaries established by NCISM, NCH, and the Ministry of AYUSH governing AI tool use across AYUSH disciplines, and apply ethical principles that protect traditional knowledge from algorithmic reduction, including culturally appropriate consent practices and compliance with the Digital Personal Data Protection Act (DPDPA) 2023.

Syllabus

Evaluate AI diagnostic tools specific to each AYUSH system against traditional clinical assessment standards, and apply a discipline-specific safety framework when integrating AI outputs including Prakriti–Vikriti error correction, simillimum discrepancy management, and Yoga AI contraindication screening.
Evaluate AI drug interaction alerts against the pharmacological principles specific to each AYUSH system, identify false positives arising from biomedical-model bias in polyherbal and mineral formulation analysis, and apply AI pharmacovigilance reporting through discipline-appropriate platforms.
Navigate the Ayush Grid digital ecosystem and A-HMIS discipline-specific modules, explain the role of Ayurgenomics and the TKDL in AI-enabled knowledge preservation, and apply documentation standards required for AI-compatible, interoperable AYUSH clinical records.
Identify regulatory boundaries under NCISM, NCH, and Ministry of AYUSH frameworks applicable to AI tools in each AYUSH system, and apply ethical principles for preserving discipline-specific traditional knowledge against algorithmic reduction, including culturally appropriate consent and DPDPA 2023 compliance.