Artificial Intelligence has recalibrated the architecture of healthcare itself by transforming diagnosis, clinical decision-making, hospital administration and the phases of pharmaceutical research. From predicting the onset of diseases to guiding clinicians through complex imaging scans, AI is embedding itself within the nervous system of modern medicine.
The path towards AI-enabled healthcare is not without obstacles. AI-powered devices and platforms’ adoption remains uneven. One of the major challenges is the scarcity of diverse, representative datasets, an absence that can skew algorithmic outputs and reinforce systemic bias against underrepresented populations. The global conversations around AI have intensified a consensus where crystallised technology must not eclipse the human element. Healthcare innovation must support in-patient welfare, equity, transparency and trust.
Recognising this balance, India has begun crafting a framework to guide the responsible deployment of AI in healthcare. The Strategy for AI in Healthcare for India marks an important step in this journey by signalling a future where algorithmic intelligence strengthens the foundations of public health.
SAHI: Indian Blueprint for Responsible AI in Health
In the recently convened India AI Impact Summit in New Delhi, the Ministry of Health and Family Welfare unveiled the Strategy for AI in Healthcare for India (SAHI) a national framework designed to shape the ethical and effective integration of AI into the health ecosystem.
SAHI does not celebrate technological novelty, but it establishes guardrails for its responsible application. The strategy proposes a structured roadmap for policymakers, healthcare providers, researchers and technology innovators. Its central process is straightforward,d where profound AI must serve the public good while strengthening India’s health systems in a sustainable and equitable manner.
The framework supports the healthcare ecosystem, where artificial intelligence accelerates diagnostic precision, expands access to specialised medical care and reduces systemic inefficiencies. At the same time, it safeguards, ensuring that innovation aligns with clinical realities, regulatory oversight and the principles of fairness and accountability. SAHI imagines AI not a disruptive but as a carefully integrated partner in the nation’s healthcare architecture.
The Pillars Supporting India’s AI Health Ecosystem
SAHI is built on five foundational pillars that collectively define how artificial intelligence should operate within the Indian health system. These pillars support governance, infrastructure, workforce and ethical oversight.
The first pillar focuses on governance and evidence, where AI applications must be validated through credible research and robust evaluation mechanisms before entering clinical practice. Without rigorous evidence, the algorithmic tools have a risk of becoming unreliable sources rather than dependable assistants.
The second pillar emphasises the creation of safe, transparent and digital infrastructure. AI thrives on data thus building a secure and well-structured data system. These systems must protect patient privacy while enabling responsible data exchange.
The third pillar highlights workforce readiness. Doctors, nurses, technicians and administrators must acquire the skills to work alongside intelligent machines. AI should amplify its capabilities, rather than replacing them.
The fourth pillar underscores risk-sensitive governance mechanisms that ensure accountability and prevent misuse. The fifth pillar promotes an innovation ecosystem that nurtures research, entrepreneurship and interdisciplinary collaboration.
These pillars aim to ensure that AI will not destabilise but will delicately balance the healthcare system.
From AIforAll to Health Transformation
SAHI has been built upon a policy that began in 2018 when India introduced its National Strategy for Artificial Intelligence, anchored in the principle of #AIforAll. This strategy views AI as a tool capable of generating scalable solutions for emerging economies while addressing complex societal challenges.
Within healthcare, there is a strategy that identifies artificial intelligence as a potential catalyst for achieving universal health coverage. In Rural India where medical specialists are scarce and connectivity constraints, could be particularly benefit from AI-powered diagnostic tools and decision-support systems.
Through intelligent algorithms, healthcare providers could detect diseases earlier, customise treatment more precisely and identify emerging issues before they create public health crises. AI-driven imaging analysis, predictive models and personalised care are already beginning to illustrate this possibility. AI offers a rare opportunity to democratise healthcare by placing diagnostic capabilities into the hands of communities with specialised medical care.
BODH: Testing AI Before It Touches Patients
Recognised by the healthcare demand for a level of trust, India has also introduced a validation mechanism for AI systems. The Benchmarking Open Data Platform for Health AI serves as a testing environment where an AI tool can be evaluated before it is deployed at scale.
Developed by the Indian Institute of Technology Kanpur in collaboration with the National Health Authority, BODH functions against unreliable algorithms. It allows clinicians and developers to assess AI models that perform under real-world conditions, ensuring that medical tools meet safety and accuracy standards.
Benchmarking mechanisms are in a domain where a flawed algorithm could lead to misdiagnosis or treatment delays. This in the validation stage it aims to cultivate a culture of accountability within its health-tech ecosystem.
Building the Digital Backbone of Health
India has an ambition for the AI-driven healthcare to rest upon an expansive digital infrastructure developed over the past decade. Several policies have laid the groundwork for this transformation.
The National Health Stack was introduced in 2018, which proposes a digital architecture capable of integrating healthcare data across the country. It supports electronic health registries, digital health ID and patient records that would allow individuals to access and control their medical information.
National Digital Health Blueprint (2019) expanded this vision by highlighting the importance of emerging technologies such as machine learning, big data analytics and the Internet of Things. The blueprint also focuses on the role of the Indian start-up ecosystem in developing innovative solutions tailored to the country’s healthcare needs.
This momentum continued with the National Digital Health Mission Strategy (2020), which translated the ideas into an implementation roadmap. This strategy emphasised interoperability, data standards and digital governance.
All these initiatives are in the Ayushman Bharat Digital Mission (ABDM), India’s most ambitious digital health infrastructure to date. With over 860 million digital health IDs ABDM represents a vast ecosystem of interconnected data repositories, healthcare registries and consent-based data exchanges.
AI in Action: Closing the Neuroradiology Gap
The transformative promise of AI has become the most visible sign when examining real-world applications. One such example lies in the field of neuroradiology. Radiologists worldwide are facing an escalating workload. Over the past 15 years, the volume of imaging, particularly CT scans, for neurological cases has increased. The expertise in neuroradiology remains heavily concentrated in metropolitan centres.
For smaller cities and district hospitals, this imbalance is much greater, creating a diagnostic bottleneck. To address this gap, the Scaida BrainCT system is developed as an AI-powered support platform that is built on thousands of labelled imaging studies, this system assists radiologists in analysing complex brain scans.
It will not replace physicians but will act as an intelligent assistant, highlighting anomalies, accelerating scan interpretation, and reducing the diagnostic burden. It has already been used in more than 15,000 brain CT studies across over 30 healthcare facilities, particularly in tier-2 and tier-3 regions.
This example illustrates how AI can extend specialised expertise beyond urban hospitals, bringing advanced diagnostic capabilities closer to underserved communities.
Technology for Inclusion: Empowering the Visually Impaired
Artificial intelligence is also reshaping accessibility for millions of citizens living with disabilities. In India, visually impaired individuals frequently encounter barriers when navigating textbooks, official documents and digital content. Recognising this challenge, the SMARTON platform has developed an AI-driven accessibility ecosystem combining computer vision, natural language processing, and voice technology.
Through mobile applications, smart glasses and web-based tools, users can convert printed text, images and diagrams into audio descriptions. This platform also supports 50 languages, including ten Indian languages enabling individuals to access educational material and official information independently.
AI, Genomics and the Future of Drug Discovery
In addition to medical practice, artificial intelligence is also changing biomedical research. The experts at the AI Impact Summit agreed that there is increasing potential for a synergy between artificial intelligence and genomics. The potential of genomic data for personalised medicine is great, but it has been hindered by the complexity of genomic data in the past.
The first challenge is the lack of genomic data across a wide range of populations. Most models are based on data from a specific group of people and are not applicable to others. Artificial intelligence can solve this challenge by analysing vast amounts of genomic data and identifying patterns that would be impossible for humans to detect. In a few years, artificial intelligence is expected to derive useful information from existing biomedical literature and genetic studies.
To realise the potential of genomic medicine, there is a need for at least 100 million people to be represented in genomic data at a level that is sufficient to reflect human diversity.
Governance, Ethics and the Duty of Care
As AI assumes a larger presence in the health sector, governance is a key issue that takes centre stage. Experts in various forums discussing investment strategies across the globe stressed that it is not only important to assess whether a country is technologically ready to embrace AI but also whether it is institutionally ready to govern it.
What are the key priorities? From these discussions, two key priorities are clear.
One of them is that a country must develop a framework that is capable of monitoring AI systems to ensure that they are safe, unbiased and secure.
Secondly there is a need to develop a duty of care that requires that AI systems are not only safe and unbiased but also that they never compromise safety in favour of efficiency.
India Leading the World
The discussions that have come out of the India AI Impact Summit all share one thing in common with the promise of AI in healthcare will only be realized if it is grounded in principles of trust, inclusiveness and ethics.
India’s role in this global revolution is unique. Its population size and diversity offer a data set like no other for innovation. Its digital public infrastructure is expanding at breakneck speed and offers the technological foundation for AI implementation. And its pool of brilliant engineers, doctors and start-ups provides the intellectual fuel for progress.
But leadership in AI will not come from adopting technologies created elsewhere. It will come from India’s capacity to create technologies that reflect its unique realities where its linguistic diversity, its demographic diversity and its commitment to inclusive healthcare.
The vision of #AIforAll is not just about technological wizardry. It is about creating an ecosystem where every innovation is focused on one thing, ensuring that every individual, irrespective of where they come from, what they can afford, and what language they speak, benefits from the healing powers of intelligent technologies.
