For the longest time, artificial intelligence in healthcare felt like something distant, something we only heard about in conferences or saw in international news. But that is slowly changing. Today, AI is quietly becoming part of everyday healthcare in India, from hospitals using smarter imaging systems to startups building tools that can help detect diseases earlier and improve patient care.
What makes this shift interesting is that India is not just adopting AI, it is building its own solutions. Indian companies and healthcare startups are creating technologies designed for the realities of our healthcare system, where overcrowded hospitals, delayed diagnoses, and limited access to specialists are still major concerns, especially in smaller cities and rural areas.
Healthcare in India still relies heavily on doctors and healthcare workers, and AI is not replacing them anytime soon. Instead, it is gradually becoming a support system that can help improve efficiency, reduce workload, and make healthcare more accessible for larger populations.
India has one of the world’s largest patient populations, creating enormous pressure on healthcare infrastructure. At the same time, digital adoption has expanded significantly in recent years, especially after the COVID-19 pandemic accelerated telemedicine and digital healthcare services.
Industry estimates suggest India’s healthcare AI market would have reached approximately US$1.6 billion by 2025, growing at more than 40 percent annually as hospitals, diagnostic companies, and digital health platforms accelerate adoption.¹²
India’s healthcare AI ecosystem is expanding through collaborations between startups, healthcare providers, research institutions, and government agencies.1 AI technologies are increasingly being used for:
Medical imaging and radiology
Disease prediction and risk assessment
Telemedicine and virtual consultations
Hospital workflow optimization
Preventive healthcare screening
Electronic health data analysis
Government programs such as the Ayushman Bharat Digital Mission and the IndiaAI initiative are also contributing to the country’s growing digital healthcare infrastructure.2
In 2024, the Government of India approved the IndiaAI Mission with a budget of ₹10,300 crore to support compute infrastructure, datasets, startup innovation, and sector-specific AI applications, including healthcare.¹³
In March 2025, the Government of India also announced collaborations between IndiaAI, the Indian Council of Medical Research, and other public institutions to support the development of indigenous AI healthcare solutions and datasets for medical research.³
One of India’s most significant digital healthcare achievements is eSanjeevani, the national telemedicine platform developed to improve healthcare accessibility across the country.
The platform allows patients to consult doctors remotely, which is especially helpful for people living in areas where access to healthcare is limited. AI-supported systems also help manage appointments, organize patient records, and streamline consultations, making the overall process smoother for both patients and healthcare providers.
By 2025, eSanjeevani had facilitated more than 38 crore teleconsultations, making it one of the world’s largest government-supported telemedicine platforms.⁴
Telemedicine has become especially important in rural India, where access to specialists can often be limited. AI-supported digital platforms may help reduce waiting times and improve continuity of care.
Aindra Systems is among the Indian startups working on AI-assisted cervical cancer screening technologies. The company combines artificial intelligence with imaging systems to support early detection of cervical abnormalities.
Its automated screening platform has been designed specifically for low-resource healthcare settings where access to trained cytopathologists remains limited.⁵
Cervical cancer remains one of the most common cancers affecting women in India, making early detection and screening especially important, particularly in areas with limited access to routine screening programs. AI-powered screening tools could help improve early diagnosis while reducing dependence on highly specialized diagnostic infrastructure.
The use of AI in preventive oncology may also help expand screening programs to low-resource settings where trained specialists are scarce.
NURA has introduced AI-enabled preventive health assessments that combine imaging, laboratory investigations, and machine learning-based analysis.
The platform was launched through a collaboration between Fujifilm Healthcare and Dr. Kutty’s Healthcare, offering AI-assisted whole-body preventive screening designed to identify risk factors before symptoms become clinically obvious.⁶
With lifestyle diseases like diabetes, hypertension, obesity, and heart disease becoming increasingly common in India, there is a growing focus on preventive healthcare. AI-based health assessments can help identify potential risk factors earlier, allowing people to seek medical attention and make lifestyle changes before conditions become more serious.
Preventive healthcare is becoming an increasingly important area for AI integration because it shifts focus from disease treatment to early risk detection.
Medical imaging is one of the few areas where AI is already being actively used in clinical settings. These systems can help radiologists identify abnormalities more quickly, flag urgent cases that need immediate attention, and reduce the time spent on routine reporting.
Wipro GE Healthcare recently introduced a Made-in-India AI-powered MRI system aimed at making imaging faster and more efficient, while also helping improve workflow inside busy radiology departments.3
The SIGNA Prime Elite MRI system, launched at IRIA 2026 in Hyderabad, uses deep-learning image reconstruction technology called AIR Recon DL and reportedly reduces scan table time by up to 37 percent compared with earlier non-deep-learning systems.⁷
Integrating AI into imaging equipment can help reduce some of the workload on radiologists by making scans more organized and improving image quality and consistency. Faster imaging systems can also help hospitals manage larger patient volumes more efficiently, especially in settings where long waiting times for scans are common.
The fact that these systems are being developed and manufactured in India is equally important. Locally made AI-powered imaging technologies could help make advanced diagnostic tools more affordable and reduce dependence on expensive imported equipment.
In 2024, Wipro GE Healthcare also announced an ₹8,000 crore investment over five years to expand local manufacturing and research in India under the Make in India initiative.⁸
AI is not limited to diagnostic tools and imaging systems. It is also being integrated into broader healthcare management systems.
AI technologies are increasingly being used in Indian healthcare for patient data analysis, hospital resource management, predictive healthcare planning, and policy support.4
A NASSCOM healthcare survey reported that 68 percent of healthcare providers in India had already begun adopting AI solutions, with 92 percent of those deployments still in proof-of-concept stages.
The same survey found that 34 percent of healthcare organizations in India had piloted at least one or two generative AI use cases in 2023, reflecting growing interest in next-generation clinical and operational tools.¹²
AI can assist healthcare administrators by identifying patterns in patient data, forecasting healthcare demands, and improving operational efficiency. Such technologies may become particularly valuable in managing large-scale public health programs.
India remains one of the leading destinations for medical tourism due to comparatively affordable healthcare services and a large network of specialized hospitals.
AI technologies are now being used to improve patient coordination, virtual consultations, multilingual communication, and treatment planning for international patients.5
AI-powered systems may help create more personalized healthcare experiences for medical tourists while improving communication and care coordination before and after treatment.
Despite rapid progress, AI integration in healthcare still faces several limitations.
AI systems rely heavily on patient data. Protecting medical information and ensuring ethical use of healthcare data remain major concerns.
AI-powered medical devices require proper clinical validation and regulatory oversight before large-scale implementation. As these technologies evolve rapidly, regulatory frameworks are still adapting to ensure patient safety.
Although AI has the potential to improve healthcare access, many rural regions still face challenges related to internet connectivity, digital literacy, and healthcare infrastructure.
AI can support healthcare professionals, but it cannot replace clinical judgment, empathy, or patient-centered decision-making. Most experts view AI as an assistive tool rather than a substitute for doctors.
India’s AI healthcare space is still growing, but the progress over the last few years has been hard to ignore. Startups, researchers, and healthcare companies are working on technologies that are not only innovative but also practical for a country where resources and access to healthcare can vary widely.
As digital healthcare continues to expand and regulations become more structured, India has the potential to become an important global player in affordable AI-driven healthcare solutions.
Government-backed AI initiatives are increasingly prioritizing Indian-language models and scalable deployment across tier 2 and tier 3 regions, which could improve healthcare accessibility in underserved communities.¹³
At the same time, the focus cannot just be on rapid innovation. Questions around patient safety, ethical use of data, and accessibility will remain equally important. If used responsibly, AI-powered medical products could help make healthcare faster, more efficient, and more accessible for millions of people.
World Economic Forum. “How India Is Building a New Model for AI in Healthcare.” April 2025. Accessed May 8, 2026. https://www.weforum.org/stories/2025/04/india-healthcare-ai-innovation/
Press Information Bureau, Government of India. “Government Initiatives Supporting Artificial Intelligence in Healthcare.” March 2025. Accessed May 8, 2026. https://www.pib.gov.in/PressReleasePage.aspx?PRID=2227410®=3&lang=1
The Indian Practitioner. “IndiaAI and ICMR Partner to Advance AI-Driven Healthcare Solutions.” March 2025. Accessed May 8, 2026. https://theindianpractitioner.com/indiaai-and-icmr-partner-to-advance-ai-driven-healthcare-solutions/
Microsoft. “eSanjeevani: AI First Movers.” Accessed May 8, 2026. https://www.microsoft.com/en-in/aifirstmovers/esanjeevani
Aindra Systems. “Official Website.” Accessed May 8, 2026. https://aindra.in/
NURA. “Official Website.” Accessed May 8, 2026. https://nura.in/
BW Healthcare World. “Wipro GE Healthcare Launches Made-in-India AI-Powered MR Imaging System.” January 31, 2026. Accessed May 8, 2026. https://www.bwhealthcareworld.com/article/wipro-ge-healthcare-launches-made-in-india-ai-powered-mr-imaging-system-591606
Reuters. “Wipro GE Healthcare to Invest $960 Million in R&D, Manufacturing in India.” March 26, 2024. Accessed May 8, 2026. https://www.reuters.com/business/healthcare-pharmaceuticals/wipro-ge-healthcare-invest-960-mln-rd-manufacturing-india-2024-03-26/
Elets eHealth. “From Diagnostics to Policy: How AI Is Transforming Indian Healthcare.” March 2026. Accessed May 8, 2026. https://ehealth.eletsonline.com/2026/03/from-diagnostics-to-policy-how-ai-is-transforming-indian-healthcare/
Invest India. “Transforming Medical Tourism: Harnessing the Power of Artificial Intelligence.” Accessed May 8, 2026. https://www.investindia.gov.in/team-india-blogs/transforming-medical-tourism-harnessing-power-artificial-intelligence
Diligence Certification. “AI-Based Medical Devices in India.” Accessed May 8, 2026. https://www.diligencecertification.com/ai-based-medical-devices-in-india/
NDTV. “AI in Indian Healthcare Market to Reach $1.6 Billion by 2025: Report.” July 2024. Accessed May 8, 2026. https://www.ndtv.com/ai/ai-in-indian-healthcare-market-to-reach-1-6-billion-by-2025-report-6329121
IndiaAI, Ministry of Electronics and Information Technology, Government of India. “IndiaAI Mission.” Accessed May 8, 2026. https://indiaai.gov.in/mission