9 November 2020, Monday

09:00 – 12:00 Site Tour A: Centre For Healthcare Assistive And Robotics Technology 
In line with Singapore’s smart city initiative, the Centre for Healthcare Assistive & Robotics Technology (CHART) was created with the support of the Ministry of Health (MOH) and Singapore Economic Development Board (EDB). It is a platform that enables healthcare professionals to work closely with industry, academia and research institutions to be able to co-develop and testbed impactful healthcare solutions in assistive technologies and robotics. CHART also coordinates with the National Robotics Programme to support the end-to-end development of robotics technologies. CHART aims to conduct technology “roadmapping” with solution providers so as to identify synergies between healthcare & technological requirements and providing user insights in developing healthcare solutions.
 site tour A
13:00 – 17:00 Site Tour B: AI And Robotics Applications At Parkway Hospital
Parkway Pantai has recently launched UCARE.AI which is an AI-powered hospital bill estimation system that has presently shown its ability to provide an 82% accuracy rate in estimating hospital bills. The system is able to dynamically generate personalized and more accurate bill estimates based on relevant parameters such as the patient’s medical condition, and medical practices, as well as the age, visiting frequency, and existing co-morbidities such as high blood pressure and diabetes. It empowers the patients to make more well-informed decisions on the medical treatment options available. More importantly, it allows patients to have greater peace of mind over their healthcare so that they only need to focus on getting better from their condition.

Who you will meet

Space In Each Site Tour Is Limited, Registrations Will Be Available On First Come, First Reserved Basis.

10 November 2020, Tuesday

09:00 Welcoming Speech, Opening Remarks & Thank You Sponsor Speech By Conference Producer
How AI And Robotics Are Creating The Future Of Healthcare
09:15 Future Of Healthcare

Keynote: Using Data Science And AI To Improve Management Of Chronic Diseases And Mental Health In Singapore

Robert-JT-Morris-Photo-rounded Robert JT Morris
Chief Technology Strategist
09:45 Hospital of the Future

Pioneering The Future Of Patient Care With AI: A Case Study Of Woodlands Health Campus

This session will explore the new Woodlands Health Campus, which will feature a number of AI and robotics initiatives to streamline and improve patient care. These include AI to analyze large amounts of data, sharpen diagnosis accuracy, and make services cheaper and faster; robotics for delivering food, housekeeping and equipment; and electronic wristbands that will allow nurses to monitor patients’ vitals remotely even after they are discharged.

Stephen-Chan-rounded Stephen Chan
Clinical Director Department of Knowledge and Innovation
Woodlands Health Campus
10:15 Morning Refreshment & Networking
Using AI to Enhance Patient Management   
10:30 Do I Need To Go To The A&E? How Chatbots Empower Patients To Make The Right Decision
In the past, the only way people could find out whether a medical issue was serious or not was to go to the Accidents & Emergency (A&E) ward. The problem with that is that cases that may seem extremely serious could turn out to be something quite trivial. For example, pain in the left arm – a symptom of a cardiac arrest – could turn out to be a simple pinched nerve. On the other hand, some people might dismiss a severe headache as being caused by stress or tension, and not go to the A&E. And that headache could be a symptom of a serious neurological problem. In this session, the speaker will show how AI can help people make informed decisions on whether or not to make the trip to the A&E through triage chatbots that help analyze a user’s symptoms and then make recommendations on actions to be taken.

Tan Yan Yuan
Family Physician and Director
My Family Clinic
Dr Tan Yan Yuan Logo
11:00 How AI  Enable Hospitals To Make Better Decisions In Resource Allocation And Planning Using Operations Research
Hong-Choon-Oh-Photo-rounded Hong Choon Oh
Assistant Director
Changi General Hospital
11:30 Roundtable Discussion
  • Challenges In AI Adoption & Scaling
Shailaja-rounded Shailaja Suresh
Gleneagles Global Hospitals
  • Overcoming Patient Resistance To AI In Healthcare
Chong-Phui-Nah-Photo-rounded CHONG Phui-Nah
National Healthcare Group Polyclinics
NHG Polyclinics
  • Adversarial Attacks: The Risks Of Manipulation In AI Applications


Kah Yee Eg
Chairman and Founder
UCrest Berhad
  • Gaining Context Behind Diagnoses With Explainable AI
Anshu-Arundhati-rounded Anshu Arundhati
Senior Consultant
Singapore National Eye Centre
  • The Hippocratic Oath Meets AI: Ethics And Fraud

Aung Myint Oo
Deputy Chief Medical Information Officer/Consultant Surgeon
Tan Tock Seng Hospital
Vice Chairman Chapter of General Surgeons
College of Surgeons, Academy of Medicine Singapore
Loh-Yong-Joo Logo
12:30 Lunch & Networking
Automating Hospitals With Robotic Assistants
13:30 Hospital Automation

Automating Hospital Logistics With Transport Robots At Changi General Hospital

At Changi General Hospital, transport robots help cut down the logistical burden on staff by moving documents, drugs, specimens and linen. They navigate obstacles on their own, and are linked with the hospital’s fire alarm system for emergencies. The hospital next plans to use robots to move heavier objects, like patient beds. Find out more about CGH’s logistics automation initiative in this session.


14:00 Best Practices On  AI In Rehabilitation Care

  • An Overview Of The Use Of Robotics And Sensors In Rehabilitation Care
  • The Considerations Of Using Deep Learning To Innovate Customized Rehabilitation Robotics In The Future
  • Sharing Of Some Local Experiences And Challenges In Research With Regards To AI In Rehabilitation Care
Loh-Yong-Joo-rounded Loh Yong Joo
Deputy Head of Department of Rehabilitation
Tan Tock Seng Hospital
Loh-Yong-Joo Logo
 14:30 Exoskeletons

Improving Functional Mobility For Paraplegic Patients With Exoskeletons

With adjustable motors that allow for more consistent practice of joint movements, exoskeletons are increasingly helping therapists to provide high-intensity, repetitive and task-specific treatment, which is hard for patients to achieve once they are discharged from hospital. Trials at the National University Health System have shown that four out of six patients who used an exoskeleton have improved in at least one category of functional mobility. Learn more about NUHS’s efforts to improve patient mobility and independence through exoskeletons in this session.


15:00 Afternoon Refreshment & Networking
  Enabling Early Detection, Prediction And Diagnosis Of Illness With AI
15:30 AI In Illness Detection

A-Eye: Spotting Signs Of Diabetic Eye Disease Faster With AI

Researchers from the Singapore National Eye Center and the National University of Singapore have developed a self-learning retinal screening AI, trained to analyze retinal photographs for signs of diabetic eye diseases in a fraction of the time it currently takes humans. Tests have shown it can return eye scan results in just 3 minutes instead of an hour. Learn more about this groundbreaking technology and its potential for helping remote, rural communities stave off diabetic blindness in this session.

 Tyler-Hyungtaek-Rim-Photo-rounded Tyler Hyungtaek Rim
Clinical Scientist
Singapore National Eye Centre
16:00 Using AI In Garnering Insights From Clinical Notes For Detecting Adverse Medication Events

  • An Overview On The Evolution Of Natural Language Processing (NLP) From Rule Based Statistical Analysis To AI-Driven Algorithms That Automatically Capture Sentences Relationships & Semantics.
  • The Processes Of Information Retrieval, Unstructured To Structured Conversion, Document Categorisation And Summarisation Will Be Covered And The Potential Impact Of NLP In Healthcare Will Be Discussed.
  • A Use Case Of Detecting Adverse Drug Events From Clinical Notes Using Various NLP Approaches.
Han-Leong-Goh-Photo-rounded Han Leong Goh
Principal Specialist
IHiS Logo
sreemanee-raaj-rounded Sreemanee Raaj Dorajoo
Pharmacist & Data Analyst
Health Sciences Authority
16:30 Building A AI-Enabled Medical Imaging Platform For The Nation, And Synthetic Medical Imaging For Healthcare

  • There Is A Worldwide Scarcity Of Annotated Imaging Data To Train AI Applications. Even More Pressing Is A Need For Medical Imaging Datasets Of Rare Diseases. Privacy Preserving Methods Are Currently Cost-Prohibitive And Computationally Demanding.
  • This Session Explores A “Bleeding-Edge” Technology Which Looks At Using Generative Artificial Intelligence To Create Synthetic Datasets Of Labelled Image Data.
  • Also, Find Out More About A Large-Scale AI-Enabled Medical Imaging Platform Which Integrates Into Hospital Data Systems Such As RISPACS And EMR.
Charlene-Liew-Photo-rounded Charlene Liew
Deputy Chief Medical Informatics Officer  / Director of Cardiothoracic Imaging
Changi General Hospital
Chapter of Diagnostic Radiologists Chairman
College of Radiologists Singapore
 Charlene Liew Logo
17:00 Artificial Intelligence (AI) Based HealthTech: Are We There Yet?

  • Examining The Possibilities And The Constraints Of The Current Artificial Intelligence (AI) Technologies
  • Reviewing The Validity Of AI In Healthcare And Assessing Its Clinical Relevancy
  • Implementing Strategies To Evaluate AI-Based HealthTech To Help Organization To Prepare For The “Future Of Healthcare”
Adam-Chee-rounded Adam Chee
Chief Advocacy Officer
Binary Healthcare
Expert (Digital Health)

World Health Organization (WHO)
AI And Data Science In Health Services Delivery

• Future Of Health Data Science
• Challenges And Opportunities In Data Science/AI For Health Services
• Use Cases From The Health Services Sector

Shao Wei, Sean Lam
Head Data Science
18:00 Closing Remarks By Conference Chairman
18:10 Champagne Networking Session

11 November 2020, Wednesday

09:00 Welcoming Speech, Opening Remarks & Thank You Sponsor Speech By Conference Producer
Precision Medicine And Personalized Treatment With AI
09:15 AI Personalization Of Treatment

Precision Medicine And Personalized Treatment Using AI To Identify Therapeutic Options In Blood Cancer

Jonathan-Scolnick-rounded Jonathan Scolnick
Research Scientist
National University Of Singapore
Jonathan Scolnick Logo
09:45 Precision Medicine

How Microsoft Uses AI To Scan Thousands Of Daily Research Papers Into An Enabler Of Precision Medicine

With some 4,000 biomedical research papers published every day, relevant information in specific areas that medical professionals need can be easily lost. Microsoft and Maine-based nonprofit research institution The Jackson Laboratory have teamed up to address this by building machine learning tools that help interpret massive volumes of research data. This has the potential to help providers choose the most appropriate treatments and speed up treatment breakthroughs. Find out how AI’s data-crunching capabilities are changing the face of medicine in this session.


10:15 Morning Refreshment & Networking
Optimizing Hospital Resource Planning With AI
10:30 Hospital Robotics

How Robots Help Run Singapore’s Hospitals: Fireside Chat With Selina Seah, Director, Center For Healthcare Assistive And Robotics Technology:

Join the director of Singapore’s national health robotics lab to find out how it is testing new ways to deliver care and improve staff productivity through three use cases for robotic technology in hospitals: logistics automation, direct interaction with people, and precision medicine.




Using AI In Medical Diagnostics

According to a report published by The Guardian newspaper, AI is on par with human experts when making medical diagnoses using images. Advocates for increasing the use of AI in healthcare highlight benefits such as freeing time for better doctor-patient interactions and helping doctors develop tailored and targeted treatments.

This Session Will Explore The Potential Of Using AI In Medical Diagnostics. Points Of Discussion Include:

  • Benefits And Risks Of Using AI In Medical Diagnostics.
  • The Importance Of Ensuring That AI Complements And Not Replaces The Doctor-Patient Relationship
  • How To Safeguard Against Algorithm And Machine Failure In Diagnostics

Gideon Ooi
Associate Consultant Radiologist and Nuclear Medicine Physician
National Cancer Centre Singapore / SingHealth


AI Regulation

Panel: Who Is Responsible For AI Misdiagnosis? Regulatory Perspectives On AI

This session will discuss the new legal and corporate challenges posed by the advent of AI in healthcare. For instance, disputes might arise from the autonomous nature of AI: how should the technology, and by vicarious liability the manufacturers, share responsibility for wrongful or negligent diagnoses? Firming up legislation will be key to overcoming hospitals’ and doctors’ reluctance to adopt AI – and all its benefits – into regular practice.

Cher-Heng-Tan-rounded Cher Heng Tan
Assistant Chairman Medical Board (Clinical Research and Innovation)
Tan Tock Seng Hospital
Loh-Yong-Joo Logo
Francis-Chin-rounded Francis Chin
Senior Consultant 
National Cancer Centre Singapore


Varun Veigas
Regional Manager, Digital Health Regulatory Affairs 
Varun Veigas Logo

Hong Shen Lim
Lead Informatics Specialist
Integrated Health Information Systems (IHiS)
IHiS Logo
AI And Predictive Analytics For Preventive Intervention
12:00 Improving Clinical Trial Initiation, Screening And Enrolment With AI:

  • How The Oncoshot Clinical Trial Platform Empowers Cancer Clinical Trial Stakeholders In Singapore With Realtime Tools For Improved A More Efficient Clinical Trial Ecosystem
  • Multiple Stakeholders Within Singapore’s Cancer Clinical Trial Ecosystem Are Leveraging On Oncoshot’s Unique Platform To Address The Needs Of The Individual Cancer Patient For A Wider And Complete Landscape Of Treatment Options As Well As Institutional Needs For A More Efficient System Of Clinical Trial Conduct
  • This Session Dives Into The Unique Pain Points Of The Various Clinical Trial Ecosystem Stakeholders And How Oncoshot’s AI-Supported And Oncologist-Supervised System Addresses The Unique Needs Of All Stakeholders

Huren Sivaraj
Co-Founder and CEO
Oncoshot Pte Ltd
Medical Oncologist
National Cancer Centre Singapore
12:30 Lunch & Networking
Technology And Improving End-Life Care
13:30 Going With Dignity – AI And Its Uses In Enhancing End-Of-Life Care

Although it may not be a topic that many like to talk about in the medical field, it is inevitable that some patients – especially those with critical illnesses – will pass on. While not even AI can help prevent that, it can be used to help healthcare providers better evaluate the mortality of their terminally-ill patients and prepare them for the end.

This Session Will Look At How This:

  • Enables Terminally Ill Patients To Make Informed Decision On Whether Or Not To Continue Medical Treatment
  • Helps Healthcare Providers Come Up With Better Palliative Care Plans For End-Of-Life Patients
  • Ensure Patients’ Time, Money And Comfort Are Not Sacrificed On Futile Treatments
  AI-Enabled Virtual Assistants In Healthcare
14:00 AI For Clinical Decision Support

Creating An AI Assistant To Help Doctors Expedite Diagnosis And Treatment Recommendations

Doctors in Singapore can now tackle medical cases with a smart assistant that is able to diagnose and recommend treatment for over 1,500 diseases. Launched by Chinese insurance giant Ping An, AI tool AskBob draws upon data from millions of anonymous patient records to support clinicians in medical consultations, self-learning, and research. See how AI is enabling personalized treatment that helps achieve better disease control and reduce complications in this session.

 14:30 Chronic Illness Management

Fireside Chat With Prof Tan Chorh Chuan, Executive Director, Office For Healthcare Transformation: How AI Will Transform Chronic Illness Management In Singapore

As diabetes, high blood pressure and high cholesterol are estimated to plague 1.5 million Singaporeans by 2020, research efforts are underway to explore the use of AI to reduce the number of patients suffering from these chronic diseases by 20% in 5 years. Join Professor Tan Chorh Chuan, executive director of the Ministry of Health’s Office for Healthcare Transformation, for a discussion on the technology’s potential to improve health and transform healthcare delivery. 


15:00 Afternoon Refreshment & Networking
Augmenting Telemedicine with AI
15:30 AI For Telemedicine

Transforming Healthcare With Home-Based Monitoring And Predictive Analytics

AI is shifting healthcare away from reactive care delivered only in the hospital or doctor’s office, to continuous health and wellness. South American telehealth company AccuHealth is demonstrating this with the use of AI to manage remote, home-based care that improves patient satisfaction while reducing costly visits to emergency facilities or clinics. Learn more about AI’s impact on telehealth and how it makes it possible for the patient to be the ‘point of care’ in this session.

Teck Jack Tan
Medical Director
Northeast Medical Group
Director & Chief Medical Officer

TeleMedC Inc
  Robotic Surgeons
16:00 How AI And Robotics Will Transform The Future Surgical Operations

  •  Will AI And Surgical Robots Improve The Patients’ Outcomes?
  •  Will Surgeons Be Replaced By AI Driven Autonomous Surgical Robots In The Future?

Aung Myint Oo
Deputy Chief Medical Information Officer / Consultant Surgeon
Tan Tock Seng Hospital
Vice Chairman Chapter of General Surgeons
College of Surgeons, Academy of Medicine Singapore
Loh-Yong-Joo Logo
16:30 Robotic Surgeons

Challenges In Adopting Robotics In The Surgical Theatre (Spine Surgery)

Dinesh-Kumar-Photo-rounded Dinesh Kumar
Senior Consultant, Director of Spine
Changi General Hospital
17:00 AI And Big Data For The Future Of Health

Matthew Chua
Lecturer and Consultant 
National University of Singapore Institute of Systems Science
 Jonathan Scolnick Logo
18:00 Closing Remarks By Conference Chairman