Inauguration
Inauguration, welcome note
Medicine and Health
Clinical AI 2026
Shaping the future of medicine with Intelligent, Practical and Ethical AI
About the conference
A meeting place for research, practice, and innovation
The International Conference on Medical Research and Innovation 2026 provides a focused academic forum for discussing new evidence, clinical practice, healthcare innovation, public-health priorities, and emerging research directions.
The programme welcomes clinicians, researchers, faculty members, postgraduate students, industry professionals, healthcare administrators, policymakers, and other contributors working across medicine and health sciences. Participants can present research, attend expert sessions, connect with peers, and explore new collaborative opportunities.
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Conference highlights
AI literacy for every doctor: a clear, jargon-free grounding in machine learning, generative AI, large language models and clinical algorithms.
Imaging and diagnostics: where AI is already working in radiology, pathology, cardiology, oncology and precision diagnostics.
Generative AI in practice: using AI for clinical documentation, patient education, decision support and medical teaching.
From data to discovery: AI for literature review, clinical trials, medical writing, genomics and drug development.
Responsible AI in medicine: patient safety, bias, ethics, privacy, cybersecurity and the regulatory picture.
From pilot to practice: how hospitals validate, integrate, monitor and govern AI tools once the trial is over.
Startup showcase: a dedicated session for startups building clinical AI and digital health products.
Learn from anywhere: fully online, with post-conference access to approved recordings and resources.
Certificate and CME: a participation certificate for every registrant, with CME accreditation pending approval.
Target audience
Practising doctors and specialists who want to understand the AI tools entering their field and use them safely.
Residents and postgraduate students preparing for a career in which AI will be part of daily practice.
Medical faculty and educators looking at how AI fits into teaching, assessment and curriculum.
Clinical researchers interested in AI for literature review, trials, medical writing and data analysis.
Hospital leaders and administrators planning how to evaluate, adopt and govern AI across departments.
Healthcare technology professionals and startups who want to understand what clinicians need from AI products.
Medical colleges, hospital systems and professional associations looking for structured AI education for their teams.
Conference programme
Built for meaningful exchange
The programme combines keynote sessions, research presentations, expert discussions, networking, and interdisciplinary knowledge exchange.
AI Literacy for Every Doctor
Machine learning, generative AI, large language models, and clinical algorithms.
Medical Imaging & Diagnostics
AI in radiology, pathology, cardiology, oncology, and precision diagnostics.
Generative AI in Clinical Practice
Documentation, patient education, decision support, and medical teaching.
Lunch
Lunch break
Data to Discovery
Literature review, clinical trials, medical writing, genomics, and drug development.
Responsible AI in Medicine
Patient safety, bias, ethics, privacy, cybersecurity, and regulation.
From Pilot to Practice
Validation, workflow integration, monitoring, governance, and implementation.
Valediction
Valediction
Choose your registration
Select the category that best matches your participation. Student registrations require valid proof of status.
Recommended
Early Bird
Discounted rate
INR
1,500.00
Available until 2026-10-31 17:30:00
- Full conference access
- Conference participation certificate
- Access to approved post-conference resources
Academic / Professional
Researchers, faculty, clinicians, and professionals
INR
2,500.00
Available until 2026-12-19 17:30:00
- Full conference access
- Conference participation certificate
- Access to approved post-conference resources
- Free access to Scholars Post
Startup / Industry
Companies, innovators, and industry delegates
INR
3,500.00
Available until 2026-12-19 17:30:00
- Full conference access
- Conference participation certificate
- Access to approved post-conference resources
- Showcase your product or service at discounted pricing
Startup Showcase by Science Catalogs
Put your innovation in front of the right audience
A dedicated platform and conference session for startups building products and services in clinical AI, digital health, medical devices, diagnostics, research technology, and healthcare operations.
Apply to showcase →
BUILD
DEMONSTRATE
CONNECT
DEMONSTRATE
CONNECT
After the conference
Continue your research journey
Scholars Post
Connect with researchers, share academic updates, discuss ideas, and continue conversations after the conference.
Explore Scholars Post →SciNexID
Build a stronger scholarly identity and improve the discoverability of researchers, contributors, and scientific work.
Explore SciNexID →Journals
Explore journal opportunities, submit relevant manuscripts, and continue research discussions through formal scholarly publishing.
Browse journals →Global Research Library
Discover conference papers, proceedings, research outputs, and academic resources in one searchable research environment.
Visit Global Research Library →
Post‑conference visibility:
Selected proceedings, papers, author profiles, and approved conference content
may be featured across relevant Science Catalogs platforms, subject to editorial
policies, publication criteria, permissions, and applicable review processes.
Frequently asked questions
Can't find what you're looking for? Contact us.
Who can attend this conference?
Practising doctors and specialists who want to understand the AI tools entering their field and use them safely.
Residents and postgraduate students preparing for a career in which AI will be part of daily practice.
Medical faculty and educators looking at how AI fits into teaching, assessment and curriculum.
Clinical researchers interested in AI for literature review, trials, medical writing and data analysis.
Hospital leaders and administrators planning how to evaluate, adopt and govern AI across departments.
Healthcare technology professionals and startups who want to understand what clinicians need from AI products.
Medical colleges, hospital systems and professional associations looking for structured AI education for their teams.
Whre is the conference happening?
Will sessions be recorded?
Selected keynote sessions will be recorded and shared with registered attendees after the conference.
Have a query?
Registration
Join the Clinical AI 2026
Register to participate in scientific sessions, connect with fellow delegates, explore new ideas, and contribute to research conversations in medicine and health.