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SDG

Draft Programme

​​​ITU workshop on "Artificial Intelligence for Health"
New York City, United States, 14 November 2018

Contact: tsbevents@itu.int

14 November 2018

08:00 - 08:15
Welcome Session
08:15 - 09:30
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: Jiook Cha, Assistant Professor of Neurobiology, Columbia University, United States  [ Biography ]

09:30 - 10:45 Session 2: Applications and Use Cases for AI in Health
How can artificial intelligence assist humans in diagnostics and medical decision making? This session will provide best practices for the applications of AI in Health, covering different medical domains, e.g. radiology and ophthalmology, and will create a common ground for further discussions and for the subsequent workshop sessions.

Moderator:  Markus Wenzel, Fraunhofer HHI, Germany

10:45 - 11:15 Coffee break
11:15 - 12:30Session 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 ]

12:30 - 13:45
Lunch break
13:45 - 15:00
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: Sameer Pujari, WHO [ Biography ]

15:00 - 15:30
Coffee Break
15:30 - 16:15​
Session 5: Funding of AI for Health
This session will 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.

Moderator: Stephen Ibaraki, ACM and REDDS Capital​ [ Biography ]
16:15 - 16:30 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 the 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 meeting.
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