Inaugural Forum of
the Cornell × Chula
C2Gether Institute
Building Regional Medical Innovation
in Digital Growth and Education through AI
Achieving Patient Outcomes through Innovative Practice & Medical Education
Bridging AI Medicine & Education
The summit brings together policymakers, academic leaders, clinicians, educators, researchers, industry innovators, and students across a two-day program focused on Digital Technology & Innovation and AI & Innovation in Medical Education.
Bangkok BRIDGE-AI Declaration 2026
A multi-stakeholder framework to serve as a reference model for ASEAN institutions.
Objectives
01
Innovation Integration
Bridge innovation, policy, and real-world implementation.
02
AI Integration
Advance AI integration in medical education and healthcare systems.
03
Regional Collaboration
Strengthen regional collaboration and leadership in ASEAN.
04
Future Innovators
Empower the next generation of innovators and learners
Two-Day
Program
Day01
Medical Innovation & AI Practice
focuses on digital technology, innovation, national strategy, and healthcare transformation.
Day02
Education, Research & Regional Growth
focuses on AI and innovation in medical education, including global perspectives, debate, and competition finals.
Core Activities
Panel Discussions
Debate Session
Research and Innovation Showcase
Digital Health & AI Competition
Networking
Who should attend
Medical and Healthcare administrators, academics, educators, researchers, policymakers, clinicians, professionals and industry partners.Registration Fee
| Registrant Type | 23 May – 19 July (pre-register) | 20 – 21 July (on-site register) |
|---|---|---|
| Participant | 2,000 THB | 2,000 THB |
FEE WAIVE:
- Students
- Competition teams who are selected to do exhibition
- Faculty of Medicine faculty and staffs, Chulalongkorn University
- Invited participants of the networking forum
- By invitation
Digital Health / AI
Innovation Competition
and showcaseA curated platform for ideas, prototypes, and next-generation solutions in healthcare.
Category 1
Medical Education Award
Innovation in medical education, simulation, curriculum design, and health science training.
Category 2
Clinical Award
Innovation improving patient care quality, clinical outcomes, diagnosis, treatment, and monitoring.
Category 3
Digital Technology Award
Health IT, telehealth, hospital management systems, and digital health platforms for service transformation.
Category 4
Medical AI Award
AI and machine learning in diagnosis, prognosis, medical imaging, and clinical decision support.
SHOWCASE
Innovation Recognition
Highlighting work that advances patient outcomes through innovative practice and medical education.
Organizer and Partners
Framework
Connecting Ecosystems
for Healthcare Transformation
A regional platform for
responsible AI
in healthcare and education
BRIDGE-AI Summit 2026 is a regional leadership platform positioning Thailand as a strategic hub for artificial intelligence–enabled medical education and digital health innovation across ASEAN and beyond.
As reflected in the Summit program, the transformation of healthcare is no longer driven by technology alone, but by how effectively health systems, institutions, and the healthcare workforce are prepared to adopt and utilize AI.
A defining feature of the Summit is the integration of innovation, education, and policy into a single platform, ensuring that discussions translate into actionable outcomes.
Organized by the Faculty of Medicine, Chulalongkorn University, and strengthened through collaboration with the Cornell–Chula C2Gether Institute.
Day 1 — Digital Technology & Innovation
National strategy, healthcare systems, clinical transformation, and emerging technologies — including perspectives from Weill Cornell Medicine.
Day 2 — AI & Innovation in Medical Education
How AI is reshaping the training of future healthcare professionals — including global perspectives, assessment innovation, governance, and faculty debate.
Strategic outcome
Bangkok BRIDGE-AI Declaration 2026
A multi-stakeholder reference framework for AI integration in medical education and healthcare systems.
Digital Health and AI Innovation EcosystemShowcase high-impact student and emerging-talent innovations, promote interdisciplinary collaboration, and identify scalable healthcare and education solutions.
Responsible AI IntegrationAddress AI in clinical decision-making, national health systems, teaching, assessment, governance, and the balance between human expertise and machine intelligence.
Regional Academic NetworkingBring faculty leaders and Asian institutional experts together to share experience, discuss barriers, and build regional collaboration.
Enduring PartnershipsCatalyze joint academic initiatives, AI-enabled curricula, collaborative research, and digital learning resources through Cornell–Chula C2Gether.
Bangkok BRIDGE-AI DeclarationCreate a multi-stakeholder reference framework for AI integration, workforce competencies, responsible governance, assessment transformation, and cross-sector collaboration.
Distinguished speakers across both summit days — keynotes, panels, debates, and special lectures from Cornell, UCSF, IMU, NTU, and Thailand's leading institutions.
Keynote
Prof. Surakiart Sathirathai, Ph.D.
Chulalongkorn University
Public Policy, Diplomacy
Keynote
Mr. Pattana Promphat
Ministry of Public Health, Thailand
Health Policy
Topic Shaping the Future of Thailand's Healthcare through Digital Innovation
CU x Cornell
Prof. Thanakorn Jirasevijinda, M.D.
Weill Cornell Medicine, USA
Medical Education, Pediatrics
CU x Cornell
Prof. Nijasri C. Suwanwela, M.D.
Chulalongkorn University
Neurology, Stroke
Keynote
Prof. Fei Wang, Ph.D.
Weill Cornell Medicine, USA
Health Informatics, AI
Keynote
Mr. Ruangroj Poonpol
KBank, Thailand
Innovation, Futurism
Panel
Assoc. Prof. Chanon Kongkamol, M.D., Ph.D.
Prince of Songkla University
Clinical Data, Family Medicine
Moderator
Assoc. Prof. Roongruedee Chaiteerakij, M.D., Ph.D.
Chulalongkorn University
Hepatology, AI
Chair
Assoc. Prof. Solaphat Hemrungrojn, M.D.
Chulalongkorn University
Psychiatry, Cognition
Panel
Supharerk Thawillarp, M.D., Ph.D.
Department of Disease Control, MOPH
Epidemiology, Surveillance
Panel
Assoc. Prof. Ronnapee Chaichaowarat, Ph.D.
Chulalongkorn University
Robotics, Biomechanics
Panel
Asst. Prof. Natawut Nupairoj, Ph.D.
Chulalongkorn University
Computer Engineering
Panel
Assoc. Prof. Saranath Lawpoolsri-Niyom, M.D., Ph.D.
Mahidol University
Tropical Medicine, Epidemiology
Panel
Jirapat Bunnag, M.D.
Looloo Health, Thailand
Digital Health, Startup
Panel
Chayanin Nitiwarangkul, M.D., Ph.D.
Ramathibodi Hospital, Mahidol University
Diagnostic Radiology, AI
Panel
Phoobadee Asavavirojkul, M.D.
Faculty of Medicine, Chulalongkorn University
Networking
Prof. Naricha Chirakalwasan, M.D.
Invited leader from peer institution
Sleep Medicine, Pulmonary & Critical Care
Networking
Asst. Prof. Jutamas Saoraya, M.D., MScCH(HPTE), Ph.D.
Invited leader from peer institution
Emergency Medicine, Critical Care
Keynote
Prof. Dr. Yodchanan Wongsawat
MHESI Thailand
Neural Engineering, Policy
Topic Digital Health Policy and National Digital Infrastructure for Healthcare and Education
Keynote
Joseph E. Safdieh, M.D.
Weill Cornell Medicine, USA
Neurology Education
Keynote
Christy Boscardin, Ph.D.
UCSF School of Medicine, USA
AI Assessment, Education
Debate
Prof. Thanakorn Jirasevijinda, M.D.
Weill Cornell Medicine, USA
Medical Education, Pediatrics
Topic Medical training programs should promote the routine use of AI by learners and faculty
Debate
Cheng-Heng Liu
National Taiwan University
Medical Education
Topic Medical training programs should promote the routine use of AI by learners and faculty
Moderator
Assoc. Prof. Nasamon Wanlapakorn, M.D., Ph.D.
Chulalongkorn University
Virology, Vaccines
Topic Medical training programs should promote the routine use of AI by learners and faculty
Special Lecture
Prof. Vishna Devi Nadarajah
IMU University, Malaysia
Medical Education Leadership
Topic A Blueprint for Success: Developing Institutional AI Guidelines for Medical Educators
Special Lecture
Prof. Nijasri C. Suwanwela, M.D.
Chulalongkorn University
Neurology, Stroke
Topic AI-Enabled Medical Education: From Digital Platforms to the Future of Learning Ecosystems
Special Lecture
Praween Chantanakomes
Baker McKenzie
Healthcare & Life Sciences Law
Special Lecture
Chanaporn Anurukwongkul
Baker McKenzie
Healthcare & Life Sciences Law
Panel
Dr. Sak Segkhoonthod
ETDA, Thailand
Digital Trust, ETDA
Panel
Assoc. Prof. Cherdchai Nopmaneejumruslers, M.D.
Mahidol University
Digital Transformation, IT
Panel
Assoc. Prof. Atiwong Suchato, Ph.D.
Chulalongkorn University
AI, NLP
| 07:45-08:30 | Registration
Registration
|
| 08:30-08:45 | Opening
Opening Ceremony
Prof. Surakiart Sathirathai, Ph.D. (Chairman of the Chulalongkorn
University Council)
|
| 08:45-09:15 | Keynote
Keynote Lecture: Universities as Digital Health Ecosystem Leaders
Prof. Surakiart Sathirathai, Ph.D. (Chairman of the Chulalongkorn
University Council)
|
| 09:15-09:45 | Keynote
Keynote Lecture: Shaping the Future of Thailand's Healthcare through Digital Innovation
Mr. Pattana Promphat (Minister of Public Health, Thailand)
|
| 09:45-10:00 | CU x Cornell
CU x Cornell C2Gether Institute
Prof. Thanakorn Jirasevijinda, M.D. (Weill Cornell Medicine) | Prof.
Nijasri C. Suwanwela, M.D. (Faculty of Medicine, Chulalongkorn University)
|
| 10:00-10:45 | Keynote
Keynote Lecture: AI and the Future of Patient-Centered Medicine
Prof. Fei Wang, Ph.D. (Associate Dean for Artificial Intelligence and Data
Science; Chief, Division of Health Informatics and Artificial Intelligence; Founding Director,
Institute of AI for Digital Health, Weill Cornell Medicine)
|
| 10:45-11:15 | Break
Break and Innovation Tour
|
| 11:15-12:00 | Panel
Panel Discussion: Clinicians as Digital Change Makers
Supharerk Thawillarp, M.D., Ph.D. (Department of Disease Control, Ministry of Public Health) |
Assoc. Prof. Saranath Lawpoolsri-Niyom, M.D., Ph.D. (Faculty of Tropical Medicine, Mahidol University) |
Assoc. Prof. Chanon Kongkamol, M.D., Ph.D. (Faculty of Medicine, Prince of Songkla University) |
Chayanin Nitiwarangkul, M.D., Ph.D. (Assistant Dean for Innovation & Partnerships, Ramathibodi; Founder, RAMAAI) |
Assoc. Prof. Roongruedee Chaiteerakij, M.D., Ph.D. (Moderator, Faculty of Medicine, Chulalongkorn University)
|
| 12:00-13:00 | Industry
Industry Perspective — Infrastructure Powering Digital Health Ecosystems
TBA
|
| 13:00-13:30 | Keynote
Keynote Lecture: Future Technology of Healthcare and Health Education
Mr. Ruangroj Poonpol (KBank Executive Innovation Futurist)
|
| 13:30-14:30 | Panel
Panel Discussion: Digital Technology and National Health Application
Asst. Prof. Natawut Nupairoj, Ph.D. (Faculty of Engineering, Chulalongkorn University) |
Phoobadee Asavavirojkul, M.D. (Faculty of Medicine, Chulalongkorn University) |
Assoc. Prof. Ronnapee Chaichaowarat, Ph.D. (Faculty of Engineering, Chulalongkorn University) |
Jirapat Bunnag, M.D. (Looloo Health) |
Yanisa Sunthornyotin (Moderator)
|
| 14:30-15:00 | Break
Break and Innovation Tour
|
| 15:00-16:30 | Innovation
Digital Innovation Research Presentation
Selected presenters
Digital Health Showcase
Assoc. Prof. Solaphat Hemrungrojn, M.D., Ph.D. (Chair)
|
| 17:00-19:30 | Invitation only
Networking Forum and Dinner: AI in Medical Education
Invited leaders from peer institutions | Prof. Naricha Chirakalwasan, M.D. | Asst. Prof. Jutamas Saoraya, M.D., MScCH(HPTE), Ph.D.
|
Digital Health
Innovation
Competition & Awards
Category 1
Medical Education Award
Innovation in medical education, simulation, curriculum design, and health science training.
Category 2
Clinical Award
Innovation improving patient care quality, clinical outcomes, diagnosis, treatment, monitoring, or patient journeys.
Category 3
Digital Technology Award
Health IT, telehealth, hospital management systems, and digital health platforms for service transformation.
Category 4
Medical AI Award
AI and machine learning in diagnosis, prognosis, medical imaging, and clinical decision support.
TrackA
30 teams
High School & Undergraduate Students
- Teams of 1-5 members, cross-institution allowed.
- At least one teacher or faculty advisor is required.
TrackB
60 teams
Graduate Students & Medical Residents
- Teams of 1-5 members, cross-institution allowed.
- Academic or hospital training advisor certification is required.
Grand Prize
The most outstanding innovation
across all categories
Awarded to one team whose work demonstrates exceptional merit across all dimensions of responsible AI in healthcare and medical education.
Innovation
Excellence
Impact
Scalability
Sustainability
Category Prize
1st, 2nd & 3rd Place + 2 Honorable Mention prizes per category.
KEY DATES
Competition Schedules
25 May 2026
Applications open
Announcement via official website and partner channels.
26 June 2026
Submission deadline
Abstract, pitch deck, and demo video due.
10 July 2026
Announcement for 90 selected teams
For exhibition.
21 July 2026
Announcement for 8 Finalist teams
(1 Finalist team per category per track)
8 Finalist teams on-stage pitching
(5 minutes presentation & 5 minutes Q&A)
Awards ceremony
Application
Submission
Process
and
Required Documents
Supporting
Team profile and evidence
Prototype images, research articles, patents, certificates, test results, and dataset evidence for Medical AI.
Document
Abstract
Background, problem, value, solution, results, feasibility, and scalability.
Document
Pitch Deck
Recommended 15-slide structure from problem and value through results and conclusion.
Video
Demo video
Recommended 15-slide structure from problem and value through results and conclusion.
Required Forms and Guidelines
Registration
Register to
attend the summit
Join as an attendee for keynotes, panels, and networking with leaders in healthcare AI and medical education
Apply for
innovation competition
Submit your healthcare AI solution across 4 award categories. Open to high school, undergraduate, graduate students, and medical residents in teams of 1–5.
FAQ
Frequently asked questions
No. Each team may apply to only one award category.
Yes. Cross-year, cross-faculty, and cross-institution teams are allowed, with advisor certification.
No. Both Prototype/MVP Track and Concept/Research Track submissions are eligible.
Thai or English may be used for oral presentations and slides.
No. Finalist teams must present onsite at the Faculty of Medicine, Chulalongkorn University.
Runner-up or honorable mention winners may submit. Prior first-place winners must show significant development from the awarded version.
Contact
Get in touch
Organizer
Division of Integrative Innovation and Digital Technology, Faculty of Medicine, Chulalongkorn University.
General inquiries
bridgeai2026@chula.md
Competition inquiries
competition.bridgeai@chula.md
Venue
Bhumisiri Mangkhalanusorn Building 12th-13th floor, King Chulalongkorn Memorial Hospital, Bangkok, Thailand