08:30 - 09:00||
09:00 - 09:15||
- Chaesub Lee, Director, Telecommunication Standardization Bureau, International Telecommunication Union (ITU) [ Biography ]
- Lubna Alansari, Assistant Director-General, World Health Organization (WHO)
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.
- Identify standardization opportunities for a benchmarking framework that will enable the broad adoption of AI for health (AI4H).
- Process to apply the benchmark dataset for testing new algorithms.
- What are different types of benchmarking we want to do.
- How to set-up an open source testing infrastructure that will allow 24h testing system to operate
Moderator: Reinhard Scholl, Deputy Director, TSB, ITU [ Biography ]
Thomas Wiegand, FG-AI4H Chair, Fraunhofer HHI, Germany [ Biography ]
Min Dong, FG-AI4H Vice-Chair, CAICT, China [ Biography ]
Ramesh Krishnamurthy, FG-AI4H Vice-Chair, WHO [ Biography ]
Marcel Salathé, FG-AI4H Vice-Chair, EPFL, Switzerland [ Biography ]
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:
- AI enabled decision support systems role in self-assessment and professional setting
- Interpretation of laboratory results or imaging data (CT, MRI, X-ray, microscope images, photos, videos etc.)
- Extraction of diagnostically relevant features from text or complex sensor streams (ECG, EEG etc.)
- Leading areas of disease types that the AI communities are currently tackling (cancer, nervous system disease, cardiovascular and urogenital, digestive, respiratory, skin endocrine diseases) and potential health impact and RoI
Moderator: Thomas Wiegand, FG-AI4H Chair, Fraunhofer HHI, Germany [ Biography ]
Frederick Klauschen, Charité Berlin
- Julia Bohlius, University of Bern
- Nafissa Yakubova, Facebook and NYU School of Medicine’s Department of Radiology research group
- Alexander Börve, Medical officer at First Derm
- Xiao Han, Scientist, Tencent AI Lab
Jochen Moninger, Director of Innovation, Welthungerhilfe
12:15 - 13:15||
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.
- Medical data required for training the AI4H algorithms and the required data types to advance AI algorithms development
- Availability of health data repository/open data sets for each application domain and how to assess the quality of data in those datasets.
- How to access clinical and health data to train AI algorithms (e.g., demographics, medical notes, electronic recordings from medical devices, physical examinations and clinical laboratory and diagnostic images, case reports)
- Identify who can share, own, control and maintain a variety of datasets and where should this data be stored in order to support 24/7 operational benchmarking infrastructure.
- Explainability of AI
Moderator: Marcel Salathé, FG-AI4H Vice-Chair, EPFL, Switzerland [ Biography ]
Robert Jakob, Clinical terms and ICD 11, WHO
- Henry Hoffmann, Chief Scientist, ADA
- Hans Östholm, SKaPa Initiator
- Shan Xu, Smart Health Department, CAICT
- Wojciech Samek, Head of Machine Learning Group, Fraunhofer HHI [ Biography ]
- Christian Lovis, Chairman, Division of Medical Information Sciences, University Hospitals of Geneva (HUG)
14:45 - 15:15||
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.
- Critical areas of interest based on countries priorities and global public health objectives
- Identify potential health problems to which AI4H interventions can be applied and assessed for impact and scalability
- How to evaluate the impact of AI health solutions on existing processes and how to integrate them in the existing national healthcare systems
- How to provide a framework for countries to guide local governments in the integration and deployment of large scale AI solutions for healthcare
Moderator: Ramesh Krishnamurthy FG-AI4H Vice-Chair, WHO [ Biography ]
- Andrew Kashoka, Assistant Director ICT, Ministry of Health of Zambia
- Antonija Balenović, HCZC, Director Health Center Zagreb, Croatia
|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.
- Possible funders and funding opportunities for AI for Health initiatives and ways to engage with them.
Moderator: Sameer Pujari, WHO
Alexandre Cuenat, Wellcome Trust
- Siddhartha Jha, Botnar Foundation
|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 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 first meeting.
- Thomas Wiegand, FG-AI4H Chair, Fraunhofer HHI, Germany [ Biography ]
- Min Dong, FG-AI4H Vice-Chair, CAICT, China [ Biography ]
- Ramesh Krishnamurthy, FG-AI4H Vice-Chair, WHO [ Biography ]
- Marcel Salathé, FG-AI4H Vice-Chair, EPFL, Switzerland [ Biography ]