Healthcare
AI improves early disease detection, medical imaging, predictive analytics, telemedicine, and personalized patient care, enabling faster and more accurate healthcare services.
About ICAIH 2026
A premier platform for AI-driven healthcare transformation
The International Conference on Artificial Intelligence in Healthcare brings together healthcare professionals, researchers, policymakers, industry leaders, startups, innovators, and academic institutions to discuss the future of AI-enabled healthcare.
Artificial Intelligence is transforming healthcare by enabling faster diagnosis, predictive analytics, personalized treatment, and efficient healthcare delivery. By leveraging data, machine learning, and digital technologies, AI supports healthcare professionals in making informed decisions, improving patient outcomes, and expanding access to quality healthcare services.
Conference Highlights
- Global collaboration and professional networking
- Healthcare innovation showcase
- Research and policy discussions
- Government, industry, academia, and startup participation
The Global AI Revolution
Transforming industries and improving lives
Education
AI enhances learning through personalized education, intelligent tutoring systems, automated assessments, and improved access to quality educational resources.
Agriculture
AI helps farmers improve productivity through crop monitoring, precision farming, weather forecasting, disease detection, and efficient resource management.
Manufacturing and Governance
AI supports smart manufacturing, process automation, quality control, digital governance, public service delivery, and data-driven decision-making.
India AI Impact Summit 2026
People, Planet, Progress
Responsible AI
Promoting ethical, transparent, accountable, and trustworthy AI systems that prioritize safety, privacy, and public confidence.
Inclusive AI
Ensuring AI benefits all sections of society by improving accessibility, reducing digital divides, and supporting equitable growth.
AI Innovation Ecosystem
Strengthening startups, research institutions, industry collaboration, and digital infrastructure to accelerate AI innovation.
AI for Healthcare
Leveraging AI to improve diagnostics, public health, disease prediction, telemedicine, and healthcare accessibility across India.
Tamil Nadu AI Vision
Building the future of healthcare innovation
Tamil Nadu has one of India’s strongest healthcare ecosystems, supported by leading hospitals, medical colleges, research institutions, healthcare service networks, technology parks, digital governance initiatives, StartupTN, and a rapidly growing AI startup ecosystem.
Make Tamil Nadu the Healthcare AI Innovation Hub of India.
HealthcareHospitals, medical colleges, research institutions
TechnologyIT hubs, digital governance, AI startups
InnovationIndustry, startup, and academic collaboration
VisionHealthcare AI leadership for India
Why AI in Healthcare?
Addressing current healthcare challenges
Current Challenges
- Doctor shortage in rural areas
- Delayed diagnosis
- Rising healthcare costs
- Increasing burden of chronic diseases
- Healthcare accessibility gaps
AI Can Support Through
- Early detection
- Predictive analytics
- Telemedicine
- Remote monitoring
- Digital health systems
Key Outcome: AI empowers healthcare systems to improve access,
reduce costs, enhance patient outcomes, and build a healthier future for all.
Conference Focus Areas
AI applications across healthcare systems
AI for Public Health
Real-time data-driven insights, smart decisions, and better outcomes through disease surveillance, outbreak prediction, TB detection, and maternal health monitoring.
Impact: faster intervention, reduced mortality, improved population health outcomes.
AI for Rural Healthcare
AI-powered health kiosks, telemedicine, remote diagnostics, AI chatbots, community health support, and the G Care Health ATM model can connect villages to specialists.
AI in Diagnostics
AI assists radiology, pathology, ophthalmology, and cardiology through medical image analysis, tissue pattern detection, eye screening, ECG analysis, and risk prediction.
Benefits: faster diagnosis, improved accuracy, early disease detection.
Digital Public Health Infrastructure
Integration with Ayushman Bharat Digital Mission, electronic health records, health information exchange, and public health databases can support a unified digital healthcare ecosystem.
Healthcare AI Startups
Emerging innovation areas include medical imaging AI, health analytics, drug discovery, AI-powered telemedicine, and personalized healthcare.
AI Skills and Workforce Development
Future healthcare requires AI doctors, AI nurses, health data scientists, biomedical AI engineers, and AI public health experts. The proposal is a Tamil Nadu Centre for AI in Healthcare Excellence.
Responsible AI in Healthcare
Building trust, ethics, and safety in intelligent care
Transparency
Open and clear processes that build confidence.
Fairness
Equitable outcomes for all individuals and communities.
Accountability
Clear ownership and responsibility for AI-driven decisions.
Explainability
Understandable AI outputs and reasoning.
Privacy
Protecting patient data and respecting individual rights.
Security
Safeguarding systems and data from threats and breaches.
AI Ethics Challenges
- Algorithmic bias
- Data privacy risks
- Cybersecurity threats
- Misdiagnosis risks
Solutions
- Ethical governance frameworks
- AI audits
- Human oversight
- Regulatory compliance
Research and Innovation Ecosystem
Collaboration for healthcare AI advancement
Medical CollegesDriving clinical research, innovation, and real-world
applications.
UniversitiesAdvancing AI research, talent development, and knowledge
creation.
StartupsBuilding innovative AI solutions to solve healthcare challenges.
Collaboration Ecosystem
IndustryProviding technology infrastructure and commercialization pathways.
GovernmentEnabling policies, funding, and regulations for responsible AI
adoption.
Indigenous Healthcare AI ModelsMultilingual
AIClinical Decision Support SystemsPublic Health AI
Chennai Declaration on AI in Healthcare 2026
Strategic recommendations for action
- Responsible AI adoption
- AI for rural healthcare
- Healthcare data governance
- AI innovation fund
- AI workforce development
- Public-private partnerships
- Global research collaboration
From vision to policy to implementation.
Vision 2030
- Tamil Nadu as India’s AI healthcare capital
- Global healthcare innovation hub
- Centre for responsible AI
- Model state for AI-driven public health
Our vision. Our commitment. Our future.
Attendees
Who should attend?
Medical Colleges and Academic Institutions
Startups, Innovators, and Industry Experts
Entrepreneurs and Business Leaders
AI Technology Experts and Researchers
Healthcare Professionals and Medical Experts
Guests and Speakers
Chief guests and tentative speakers
Chief Guests
Honourable Dr. R. Kumar
Information Technology Minister, Government of Tamil Nadu
Honourable Dr. K.G. Arunraj
Minister for Health and Family Welfare Department
Justice Dr. M. Jayachandran
Madras High Court Judge
Shri S. Krishnan, IAS
Secretary, MeitY, Government of India
M. Darez Ahamed, IAS
Secretary to the Government, Health and Family Welfare Department
Dr. Soumya Swaminathan
Chief Scientist, World Health Organisation
Tentative Speakers
Vanitha Venugopal
CEO, Tamil Nadu Technology Hub
Mr. Sridhar Vembu
Co-founder and Chief Scientist, Zoho Corporation
Mr. Sivarajah Ramanathan
Chief Executive Officer, Startup TN
Dr. Shashi Buluswar
CEO, Institute for Transformative Technologies
Romesh Wadhwani
Founder, Wadhwani Foundation
Dr. A. Senthilrajan
Registrar, Alagappa University
Dr. Preetha Reddy
Executive Vice Chairperson, Apollo
Dr. Prashant Warier
CEO, Qure.ai
Dr. Venkat Padmanabhan
Deputy Managing Director, Microsoft Research India
Nalli Kuppuswami Chetti
Chair, Nalli Silk Sarees
Mr. Girish Raghavan
Vice President, GE Healthcare
Mr. Nitin Kumar
Vice President of Healthcare, TCS
Dr. S. Uma, IAS
Project Director, Tamil Nadu Health System Project
Anand Rangarajan
VP Engineering and Google Bangalore Site Lead
Dr. Alby John Varghese, IAS
Managing Director and CEO, TNeGA
Dr. Parasuraman Raman
Principal Scientist, M. S. Swaminathan Research Foundation
T L. Nandhagopal
Chairman, G Care Council
Mr. Praveen Kumar
Practice Leader – Risk, Cyber & Analytics
Mr. Vikram Elango
Generative AI Specialist – AWS, Dubai
Dr. S. Elumalai
Former Registrar, University of Madras
Conference Agenda
Full-day programme
| Time | Session | Speaker Category |
|---|---|---|
| 09:00 – 09:30 AM | Registration and Networking Tea | Delegates |
| 09:30 – 09:40 AM | Tamil Thai Vazhthu and Welcome Address | Organizing Committee |
| 09:40 – 09:50 AM | Conference Overview and Objectives | Conference Chair |
| 09:50 – 10:20 AM | Inaugural Address | Government of Tamil Nadu |
| 10:20 – 10:40 AM | Special Address: AI Vision for Healthcare in India | Central Government / MeitY |
| 10:40 – 11:10 AM | Keynote Address: Future of Artificial Intelligence in Healthcare | International Expert |
| 11:10 – 11:25 AM | Tea Break and Networking | All |
Session I: AI Transforming Healthcare Delivery
11:25 – 11:50 AM: AI in Diagnostics, Medical Imaging and Disease Prediction
11:50 – 12:15 PM: AI-Powered Clinical Decision Support Systems
12:15 – 12:40 PM: Digital Health Ecosystem and Smart Hospitals
12:40 – 01:00 PM: Interactive Q and A Session
Session II: Innovation, Rural Health and Public Health
02:00 – 02:25 PM: AI Startups Revolutionizing Healthcare
02:25 – 02:50 PM: AI in Rural Healthcare and Telemedicine
02:50 – 03:15 PM: AI for Public Health, TB Detection and Disease Surveillance
03:15 – 03:35 PM: Industry Presentation: Healthcare AI Solutions
03:35 – 03:45 PM: Tea Break
Session III: Ethics, Governance and Clinical Judgment
03:45 – 04:10 PM: AI Ethics, Data Privacy and Patient Safety
04:10 – 04:35 PM: Healthcare Regulations, Governance and Compliance
04:35 – 05:15 PM: High-Level Panel Discussion: Can AI Replace Human Clinical Judgment?
05:15 – 05:30 PM: Audience Interaction
Sponsors and Partners
Partner with ICAIH 2026
Support an international platform focused on healthcare AI innovation, responsible AI, public health, rural healthcare access, and startup collaboration.
Sponsorship Packages
🥇 Platinum Sponsor
₹74,999
- Logo on all banners, website, brochures & lanyards
- Exclusive keynote / panel speaking slot
- Workshop or technical session opportunity
- Premium exhibition stall (high-traffic area)
- VIP networking with speakers & officials
- Featured in press releases & newsletters
- 5–10 complimentary delegate passes
🥈 Gold Sponsor
₹49,999
- Logo on website, selected banners & newsletters
- Medium-sized exhibition stall
- Recognition during selected sessions
- Featured in event publications
- Social media promotions
- 3–5 complimentary delegate passes
- Limited networking with speakers & leaders
🥉 Silver Sponsor
₹24,999
- Logo on website & selected event banners
- Small exhibition stall or shared booth
- Social media mentions & promotions
- 2–3 complimentary delegate passes
- Acknowledgement during selected sessions
Exhibition Opportunities
1. Premium Exhibitor
₹24,999
- Exhibition booth (3m x 3m)
- Company logo on event website
- Inclusion in the exhibitor directory
- Complimentary pass for 2 delegates
2. Standard Exhibitor
₹22,999
- Exhibition booth (2m x 2m)
- Inclusion in the exhibitor directory
- Complimentary pass for 1 delegate
3. Startup Pavilion
₹19,999
- Table space in the Startup Pavilion
- Inclusion in the exhibitor directory
- Networking opportunities with investors and industry leaders
Suitable For
- Hospitals and healthcare providers
- AI and digital health companies
- Medical device and diagnostics companies
- Startups and incubators
- Academic and research institutions
Registration
Register your interest
Submit your details to participate in ICAIH 2026 as a delegate, speaker, researcher, healthcare professional, startup founder, or industry representative.
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AI is not just a technology; it is a tool to unlock new possibilities.