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18-19 September 2023
at Eastin Grand Hotel Phayathai, Bangkok
How do we bring in The Next Era?
THE NEXT ERA of Medical Education
By educating the next era of healthcare professionals on digital health and AI to drive positive industry transformation.
THE NEXT ERA of Hospital Leaders
By equipping the next era of hospital leaders with strategies and funding model to implement AI and digital health for improving patient experience and reduce costs.
THE NEXT ERA of Healthcare industry
By adapting the next era of healthcare industry to the local rules and regulations, through case studies and best practices from the US and around the world.
Topics Discussed​
CHATGPT
AI APPLICATION IN CLINICAL DOMAIN
BUSINESS MODEL
FUNDING STRATEGY
GOVERANCE & REGULATIONS
LARGE LANGUAGE MODEL
SMART HOSPITAL
GENERATIVE AI IN HEALTHCARE
AI IN CLINICAL DOMAIN
Keynote Speakers
Speakers from The USA
CIIO and CIO from two of the largest hospitals in the USA
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Anthony Chang,
MD, MBA, MPH, MS
Chief Intelligence and Innovation Officer, Medical Intelligence and Innovation Institute Cardiology, CHOC Specialists
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Rubin Pillay,
PhD ,MD,MBA,MSc, BSc(Hon) Pharm
Chief Innovation Officer at UAB Health system, 8th largest hospital in America
Timothy Chou
Former President of Oracle On Demand and Cloud-computing lecturer at Stanford University
PhD
Virtual
Alfonso Limon
PhD
Faculty at the American Board of AI in Medicine
and Principal Consultant at ONEIRIX LABS
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Rungroj Krittayaphong
MD
Siriraj Hospital,
Mahidol University
Sak Segkhoonthod
PhD
Advisor at the Electronics Transaction Development Agency (ETDA)
Sissades Tongsima
PhD
Director of National Bio Bank of Thailand
Dilok Piyayotai
MD
Dean of Faculty of Medicine, Thammasat University
Tanakrit Chintavara
MD
Vice director Government big data institute (GBDI)
Surakameth Mahasirimongkol
MD
Director of Innovation and Health Industry Promotion MOPH
Who Should Attend?
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Healthcare professionals
Insurance Executives
Medtech Innovators
Hospital Executives
Pharmaceutical Executives
Data scientists
300+
Attendees
2-Day
Event
Intensive
Session
Led by international speakers
Meet us at
Eastin Grand Hotel Phayathai
On 18-19 September
Grand ballroom
International buffet lunch
Insightful sessions with national and international leaders
Your opportunity to connect with and learn from leaders at the forefront of
Artificial Intelligence in Healthcare and Public Health.
Co-hosted by
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ABOUT
THE
CO-HOST
UAB is the heartbeat of Birmingham and an integral medical leader in the Southeast. At UAB, we have never settled on merely finding what’s next—we have helped build the future through new ideas and initiatives in the classroom, the laboratory, the studio and the clinic. UAB’s vision, mission and shared values provide a foundation for the strategic plan, Forging the Future.​
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NATIONALLY RANKED
in 8 Adult Specialties
UAB IS AMONG THE TOP​ MEDICAL SCHOOL IN THE U.S.​
The Heersink School of Medicine is dedicated to excellence in the education of physicians and scientists in all the disciplines of medicine and biomedical investigation for careers in practice, teaching, and research.
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HIGH PERFORMING​
in 3 Adult Specialties​
in 17 Procedures/Conditions
NAMED AMERICA’s BEST LARGE EMPLOYER ​BY FORBES
Forbes named UAB America's Best Large Employer for 2021. The university tops a list of more than 500 public and private corporations, hospitals, universities and more across dozens of industries.
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REGIONALLY RANKED​
Recognized in Central Alabama​
#1 in Birmingham #1 in Alabama
RANKED AMONG THE TOP 8 PERCENT
U.S. News ranked UAB among the top 8 percent of universities worldwide in its 2022-2023 list while also ranked 16 UAB programs among the leaders in their fields in its 2022 lists. ​
ABOUT
THE
CO-HOST
Thammasat University is advancing towards leadership in driving the medical industry to be prepared for technological changes. We aim to provide knowledge to hospital leaders and medical practitioner to effectively navigate and embrace digital transformation. Creating skills and enhancing the knowledge of medical students to understand AI and Data Science related to Digital Transformation & Innovation, in collaboration with UAB.
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AGENDA
Day 1
08.00 – 09.00
Registration
09.00 – 09.30
Opening Ceremony
09.30-10.30
The next decade in AI, Machine Learning & Health
Explore the transformative potential in Medicine, exciting developments, and key discussions unveil possibilities for improved patient care, operations, and medical training.
10.30 – 10.45
Networking break
10.45 – 11.45
AI Outlook for Thailand's Healthcare: Needs and Preparation
The leader of Thailand’s key funder of life sciences-related innovations and research discusses the funding strategy and upcoming initiatives
11.45 - 13.00
Lunch
13.00 – 14.30
The current State of the Art of AI in Medicine and Healthcare – Real world application including generative AI
Explore real use cases of AI in medicine and healthcare. Delve in-to the specifics such as Machine learning and predictive models in decision support, deep learning and convolutional neural networks (CNN) in imaging, LLM, NLP and many more
14.30-14.45
Networking break
14.45 – 16.30
Essential issues and concerns when implementing AI
Exploring the complexities and issues associated with the implementation of AI in the healthcare system requires an understanding of several key areas: AI workflow and the inherent challenges, the concept of AI explainability and interpretability, the development and application of AI models and services, regulatory concerns, and the importance of educating clinicians about AI while also teaching data scientists about healthcare.
Day 2
09.00-09.15
MC Welcome
09.15-10.30
Pediatric Moonshot
The Pediatric Moonshot mission is to reduce healthcare inequity, lower healthcare costs and improve outcomes for children - locally and globally by creating privacy-preserving real-time applications based on access to data in all 1,000,000 healthcare machines in all 500 children's hospitals in the world. To accomplish the mission, we launched a new venture three years ago to build a highly decentralized, in-the-building cloud service. During 2022 we deployed edge zones in eight children's hospitals on three continents. In 2023 we started the Mercury and Gemini programs. Mercury is a global image sharing network designed to enable image sharing from non children's hospitals and clinics with clinical experts at the 500 children's hospitals. Gemini is a global AI research lab for Children's medicine. Similar to a pharma lab, Gemini is an environment to build privacy-preserving real-time AI applications in cardiology, radiology, orthopedics, oncology and emergency medicine. For more go to www.pediatricmoonshot.com
10.30 – 10.45
Networking break
10.45 - 12.00
Panel talk : Regulations and Governance (Thailand and Beyond)
Thailand’s key people driving data governance, regulation and direction discuss what it means for Hospitals to transform into a SMART Hospital and implement AI in their healthcare system. They will cover regulation, strategy, ethical concerns, and other issues affecting the healthcare digital transformation.
12.00 - 13.00
Lunch
13.00 - 13.45
Responsible AI: Pathway to SMART Healthcare - All you need to know about Policy, Strategy, Funding models, Education and People
With advancements in connectivity, digitization and intelligent tools coupled with a maturing market of AI applications in medicine, the future of smart healthcare is here. But do we have the policy, strategy, funding models, education, and people in place to deliver at scale? This track translates these nuances in detail to build sector resilience as we reimagine the future of healthcare with AI.
13.45 – 14.30
Local perspective: Strategy talk - How to implement AI and digital health in your healthcare ecosystem?
The hospital’s dean discusses the roadmap and where hospitals are heading while transforming into a SMART healthcare system. An informative session on medical education transformation, hospital transformation, and strategy in Thailand
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Strategy for healthcare leaders – policy, strategy, funding models in Thailand’s perspective
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Education strategy to prepare the next generation of healthcare professionals to drive healthcare transformation.
14.30 - 15.15
Application of AI in Clinical domains
Discover, discuss, question, and collaborate on developing, validating, and testing AI approaches for risk prediction, bias situations and areas of prevalence, diagnostics and decision making to provide value for cohorts and improving health equity.
15.15-15.30
Networking break
15.30 – 16.30
Panel discussion: Empowering Healthcare for Tomorrow
Unleashing the Potential of AI Adoption to Revolutionize Thailand’s Healthcare System
16.30 – 16.45
Closing Ceremony
