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Programme

​​​​​​​​​​​​ITU Workshop on Artificial Intelligence for Health   
Geneva, Switzerland, 25 September 2018

Contact: tsbevents@itu.int

25 September 2018

08:30 - 09:00 Registration
09:00 - 09:15 Welcome Session
09:15 - 10:15

Session 1: Focus Group on AI for Health
The session will frame the AI4H workshop by providing an overview of the activities of the FG and the topics and aspects that the FG and workshop would like to address including opportunities for standardization of AI solutions for health. It will highlight how AI and machine learning can revolutionize healthcare in the areas of clinical decision support, personalized medicine, augmented diagnosis capabilities, medical imaging interpretation, therapeutic purposes and disease prevention. The session will provide an overview of the process and methodology of benchmarking AI algorithms for health, along with approaches and challenges to algorithms assessment. It will discuss how standardization process can lead to responsible adoption of algorithmic decision-making tools and to improving the accuracy of the algorithms. It will describe the proposal of a highly available system/ infrastructure for benchmarking the algorithms.   

Key Topics:

Moderator: Reinhard Scholl, Deputy Director, TSB, ITU [ Biography ]

10:15- 10:45 Coffee Break
10:45 - 12:15

Session 2: Applications and Use Cases for AI in Health
This session will provide best practices for the applications of AI in Health

Key Topics:  Potential business case for AI for Health solutions for:

Moderator: Thomas Wiegand, FG-AI4H Chair, Fraunhofer HHI, Germany [ Biography ]

12:15 - 13:15 Lunch Break
13:15 - 14:45

Session 3: Data Availability and Benchmarking
This session will address the issue of availability of data sources for training and testing of the algorithms in the context of evaluation and validation with open benchmarks. It will address the need of open data sources and opportunities for how to make algorithms fair and unbiased, how to promote algorithmic accountability and how to make predictions equitable. It will describe the importance of having standardized formats for data input and data output in order to come up with some assessment/benchmark for algorithms.

Key Topics:

Moderator: Marcel Salathé, FG-AI4H Vice-Chair, EPFL, Switzerland [ Biography ]

14:45 - 15:15 ​Coffee Break
15:15 - 16:45

Session 4: Country priorities for use of AI for health
This session will discuss existing AI initiatives in countries, related AI strategies, AI adoption maturity models, priority health use cases that can benefit from AI for Health.The session will also highlight the need to align the health solutions with WHO global goals for health in terms of health outcomes, scalability and inclusiveness. 

Key Topics:

Moderator: Ramesh Krishnamurthy​ FG-AI4H Vice-Chair, WHO [ Biography ]

​16:45-17:45

Session 5: Funding of AI for Health

This session will discuss existing AI initiatives in countries, related AI strategies, AI adoption maturity models, priority health use cases that can benefit from AI for Health.The session will also highlight the need to align the health solutions with WHO global goals for health in terms of health outcomes, scalability and inclusiveness. The session will also discuss how to fund AI for Health initiatives including the Focus Group on AI for Health. It will also highlight how to assess the business case for AI for health solutions in order to raise awareness and attract interest from foundations, venture capitalists and other donors.

Key Topics:

Moderator: Sameer Pujari, WHO

17:45 - 18:00

Closing Session and Next Steps
Ideas, issues and proposals stemming from the sessions will be compiled and prioritized according to the themes and critical areas of work established for t​he focus group. Each proposal will provide directions needed to be dealt with by the focus group. A list of issues and recommendations will be presented for consideration to the focus group on AI4H first meeting.

​18:00 - 20:00
Reception
​A networking reception will be held after the workshop at the WHO restaurant.

 *To be confirmed​