Google Expands India AI Health Push with AIIMS Partnership & New Public Health Initiatives
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Building on previous AI applications developed for dermatology and outpatient triage, researchers are now creating AI models focused on leprosy and reproductive health.
Google has expanded its India AI healthcare initiatives by strengthening its collaboration with AIIMS to develop AI models for leprosy and reproductive health, while supporting India's digital public health infrastructure through open-source AI technologies.
The latest initiatives aim to improve disease detection, clinical decision-making and digital health innovation while making AI tools more accessible to India's healthcare ecosystem.
The announcements were made at a recent event, where Google unveiled a series of India-focused AI initiatives spanning healthcare, education, language accessibility and enterprise AI infrastructure.
While several announcements covered multiple sectors, healthcare remained a key area of expansion as India continues to accelerate AI adoption across its public health ecosystem.
As part of its latest healthcare push, the All India Institute of Medical Sciences (AIIMS) has expanded its use of Google's open-source multimodal MedGemma models to address India-specific health challenges.
Building on previous AI applications developed for dermatology and outpatient triage, researchers are now creating AI models focused on leprosy and sexual and reproductive health.
The new models are designed to assist healthcare professionals and patients in identifying and managing medical conditions using both medical images and text-based inputs.
AIIMS also plans to make these localized clinical AI models available to India's developer community, enabling researchers and health technology innovators to build new digital health solutions tailored to local needs.
Google also highlighted the growing role of its open-source AI technologies in India's Digital Public Infrastructure for healthcare.
According to Google, the National Health Authority has used Gemma 4 and Google's Medical Data Toolkit in developing Aarogya Setu 2.0, the country's new public health record application.
"The ultimate metric of AI progress isn’t just model parameters, but also in the positive transformation it enables. India is championing this as it adopts AI across every tier of the economy - from local merchants to national health initiatives," said Dr. Manish Gupta, Senior Director for India and APAC at Google DeepMind.
"In bringing our frontier AI, on-premise capabilities, and commitment to safety, we aim to accelerate this momentum and look forward to the country’s AI learners, educators, builders, and innovators leading India’s AI ambition from the front," he added.
Alongside its healthcare announcements, Google introduced wider India AI initiatives, including AI education programmes, expanded Indic language support through Gemini Live, and infrastructure that enables regulated sectors such as healthcare to deploy Gemini AI models within Indian data centres while meeting data residency requirements.
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