Lok Sabha Question No. 2194 (UNSTARRED), answered on 2025-12-12
Subject: Integration of AI into AYUSH
Ministry: AYUSH
Asked by: Shri Kamakhya Prasad Tasa

## GOVERNMENT OF INDIA MINISTRY OF AYUSH LOK SABHA UNSTARRED QUESTION NO. 2194 TO BE ANSWERED ON 12 th  DECEMBER 2025

## 'Integration of AI into Ayush'

## 2194. Shri Kamakhya Prasad Tasa:

Will the Minister of AYUSH be pleased to state:

- (a) whether the Government is taking steps to integrate Artificial Intelligence (AI) with the

AYUSH systems for diagnostics, research and service delivery in the country;

- (b) if so, the details of key AI-driven initiatives taken in this regard; (c)  whether  the  World  Health  Organization  (WHO)  has  acknowledged  India's  AI innovations in traditional medicine and if so, the details thereof; and (d)  the  steps  taken  by  the  Government  to  ensure  global  interoperability,  scientific validation and wider adoption of AI in AYUSH practices?

## ANSWER

## THE MINISTER OF STATE (IC) OF THE MINISTRY OF AYUSH (SHRI PRATAPRAO JADHAV)

(a)  and  (b)  Ministry  of  Ayush  has  taken  following  steps  to  actively  integrate  Artificial Intelligence (AI) into Ayush systems:

The Ayush Grid project serves as the IT backbone of the Ayush sector, driving digital transformation  by  integrating  advanced  technologies  such  as  Artificial  Intelligence  (AI), Machine  Learning  (ML)  and  others  across  functional  areas  i.e.  Healthcare,  Research  & Development, Education & Awareness etc. As part of this initiative, several digital platforms have  been  developed  such  as  the  Ayush  Hospital  Management  Information  System  (AHMIS) for diagnostics and service delivery, and the Ayush Research Portal and NAMASTE Portal to support evidence-based research.

Beside  this,  the  Ministry  has  sanctioned  establishment  of  a  Centre  of  Excellence  in AyurTech under Ayurswasthya scheme for Integrative Precision Health and Medicine at IIT Jodhpur. This pioneering project integrates Functional Genomics, Electronics, Digital Health, and  cutting-edge  technologies  such  as  AI  and  ML  to  develop  evidence-based  solutions. Furthermore, an MoU has been signed between National Commission for Indian System of Medicine (NCISM), a statutory body constituted under NCISM Act, 2020 and Birla Institute for Technical Studies (BITS), Pilani to assess the AI preparedness of faculty and students in Ayurveda, Siddha, Unani, and Sowa-Rigpa (ASUS) systems, identify sector-specific needs, and  co-develop  appropriate  AI-based  tools,  course  content,  and  pedagogies  for  wider adoption.

- (c) On 11th July 2025, the World Health Organization (WHO) has released a technical brief titled, " Mapping the Application of Artificial Intelligence in Traditional Medicine" recognizing India's innovation and implementation of AI in traditional medicine.
- (d) The Ministry of Ayush has undertaken following initiatives to ensure global interoperability,  scientific  validation,  and  wider  adoption  of  Artificial  Intelligence  (AI)  in Ayush practices:
- i. The  Ministry  of  Ayush  has  played  a  leading  role  as  a  topic  driver  for  Traditional Medicine  within  the  Focus  Group  on  Artificial  Intelligence  for  Health  (FG-AI4H). This  initiative  promotes global  collaboration  and  the  standardization  of  AI  in health . The effort has now advanced into the 'Global Initiative on AI for Health (GIAI4H),'jointly  led  by  the  World  Health  Organization  (WHO),  the  International Telecommunication Union (ITU), and the World Intellectual Property  Organization (WIPO).
- ii. The Ministry played a pivotal role in developing Traditional Medicine Module 2 of Chapter 26 in the International Classification of Diseases (ICD-11), dedicated to Ayurveda, Siddha, and Unani. This module was officially released on the WHO ICD11  Portal  in  February  2025,  enabling  healthcare  providers  worldwide  to  use  dual coding for both traditional and conventional diagnoses. This supports comprehensive data collection and enhances global interoperability in healthcare systems.