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Programme

​ITU/WHO Workshop on "Artificial Intelligence for Health"  
Shangai, China, 2 April 2019

Contact: tsbworkshops@itu.int

Tuesday, 2 April 2019

09:00 - 09:30 Welcome Session
09:30 - 11:00 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.

Ojectives: Presenters:
 10:30 - 11:00 Coffee Break
11:00 - 12:30 Session 2: Use Cases and Data Availability
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 and health domains, e.g. radiology and ophthalmology, and will create a common ground for further discussions and for the subsequent workshop sessions.

Moderator: Naomi Lee, FG-AI4H Vice-Chair, Executive Director (Digital), The Lancet, United Kingdom [ Biography ]
12:30 - 14:00 Lunch Break
14:00 - 15:30 Session 3: Benchmarking and Security
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.

Moderator: Shan Xu
 15:30 - 16:00 Coffee Break
16:00 - 17:30 Session 4:  Regulations and Country priorities for use of AI for health
This session will discuss existing AI initiatives in countries, related AI strategies, AI adoption maturity models, and 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.

Moderator: Ramesh Krishnamurthy, WHO 

17:30 - 17:45Closing 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.
17:45 - 19:00​​​Reception

 *To be confirmed