SCHEDULED PROGRAM

AI in Healthcare Qatar 2020 Monday, March 2

8:00

Registration & networking

8:45

Chairman’s opening remarks & Ice breaking session

Hamish Clark

Partner - Health Industries, Middle East, PwC

8:50

Welcome remarks - Key Elements for a successful AI in Healthcare

We have all heard about AI and what it can do but are we fully prepared and ready to make it successful and impactful in the delivery of healthcare services? What does it take to make it successful?

Eyad Al Musa

Middle East Healthcare IT Leader, PwC

Session 1: AI Leader Briefing

9:00

KEYNOTE - The change in Qatar Healthcare systems – The AI Impact

Physicians and Hospitals should prepare for AI

9:20

People activation and the impact of digital

Oussama Nicolas

Partner, PwC

9:40

AI and its practical application in health care

Greg Horne

Global Principle Healthcare, SAS

10:00

Panel discussion

People engagement in adopting AI – Better access, speed, accuracy and replacing ‘HUMAN TOUCH’n

• Increasing readiness and upskilling the workforce to embrace new technologies
• Getting to the AI Investment Decision

Mashhood Ahmed

Project Manager, Sidra Medicine

Panelists:

The Ministry of Public Health (MoPH)

Ministry of Transport and Communications

Hamad Medical Corporation

Greg Horne

Global Principle Healthcare, SAS

10:20

Speed networking & coffee break

Set the tone for the rest of the conference by networking with your peers. Break the ice and get to know fellow executives. Bring your business cards, make the right connections, and build exclusive knowledge

Session 2: Introduction to AI & ML

10:50

Introduction to AI

In last couple of years Artificial Intelligence (AI) and Machine Learning (ML) moved from academic topic into reality.

The presenter will start with basics of Artificial intelligence, and how AI is different from traditional computer programming. Further he will discuss how Machine Learning (ML), deep learning and neural network works within AI. Within ML the presenter will dig deep into supervised and unsupervised learning. Prior to closing and providing some example of AI in healthcare, the presenter will discuss Artificial Narrow Intelligence and Artificial General Intelligence.

• Define and describe Artificial Intelligence
• Explain Machine Learning, Deep Learning and Neural Network within AI
• Distinguish supervised versus unsupervised learning
• Differentiate Artificial Narrow Intelligence and Artificial General Intelligence

Mashhood Ahmed

Project Manager, Sidra Medicine

Session 3: Exchange of Ideas

11:00

Making Time Matter with Intelligent Automation

East Suffolk & North Essex NHS Foundation Trust have pioneered the use of intelligent automation technology within the UK's National Health Service. The Chief Technology Officer, Darren Atkins, will share his 'real-world' experiences of embedding automation within the organizational culture and give examples of how this technology has saved thousands of hours, improved patient outcomes and increased staff morale. How do you get staff to embrace automation? How do you to make time matter? What processes are best? How to create a Centre of Excellence? All these questions and more will be answered in this exciting and thought-provoking session.

Darren Atkins

Chief Technology Officer (Automation & AI)
East Suffolk and North Essex NHS Foundation Trust

11:20

Smart Wearable Devices and Machine Learning in Cardiovascular Health

• Recognize the role of smart wearable technology in cardiovascular disease prevention and management
• Emphasize the value of machine learning in analyzing smart wearable data and its clinical applications
• Interpret clinically relevant data collected through smart wearables

Mohamed Elshazly

Cardiologist & Assistant Professor
Weill Cornell Medicine & Cardiology Consultant, Hamad Medical Corporation

11:40

Why Is AI & VR in healthcare important?

• Using AI & VR for developing world healthcare applicationse

Martin Ciupa

Chief Artificial Intelligence Officer, MindMaze

12:00

Reducing misdiagnosis and healthcare costs by applying AI powered solutions in the diagnostic process

Session 4: Technology Trend Setter Play

12:20

AI – changing Radiology & Pathology

Presentation on the ways how AI will enhance the radiology & pathology can lead to a better patient care

Or

Improve clinical workflow efficiency and quality assurance - Artificial Intelligence in Pathology

• How Does Digital Pathology Affect Patient Care?

12:40

Role of AI in medical imaging

Zia Saleem

Chief Innovation Officer
Innovative Healthcare Systems (IHS)

13:00

Industry showcase: AI advancements in the pharmaceutical sector: The role of AI in developing new drugs

13:00

Prayer break & lunch

Session 5

14:20

AI for Health Outcome Prediction using Electronic Health Records - a Research Prospective

Sabri Boughorbel

Senior Scientist and Team Lead in Machine Learning Sidra Medicine

14:40

AI based personalized treatment plan for cognitively impaired patients in Qatar

Dr. Tanvir Alam

Assistant Professor - College of Science and Engineering Information & Computing Technology
Hamad Bin Khalifa University (HBKU)

15:00

Big Data – Big Decision

Clinical & diagnostics decision impact

15:20

Robotic Technologies: Case Study

How technology is changing the experience of surgery for people around the world.

15:40

RPA – Improving Healthcare Industry

Join us in understanding how RPA can be applied in changing the critical applications like Administration, Claims, Care Management, Provider and claims Administration.

16:00

Afternoon coffee & networking break

Session 6: Fireside Chats & Interactive Panel Sessions

16:20

Interactive panel session: How can AI address and prevent medical errors?

16:40

Interactive panel session: Addressing the impact of AI and analyzing its implications in:

Join us in understanding how RPA can be applied in changing the critical applications like Administration, Claims, Care Management, Provider and claims Administration.

• Patient safety
• The doctor and patient relationship
• Public acceptance and trust
• Accountability for decisions
• Training and education
• The regulatory environment
• AI in Healthcare meets Emotional Intelligence

Moderator:



Hamish Clark

Partner - Health Industries, Middle East, PwC

Panelists:



Darren Atkins

Chief Technology Officer (Automation & AI)
East Suffolk and North Essex NHS Foundation Trust



Joseph Al Haddad

Leadership and Management Development Manager
Sidra Medicine

17:00

Conference review by the chairman

Hamish Clark

Partner - Health Industries, Middle East, PwC

17:10

Evening coffee and networking

17:30

End of conference