|08:00 - 08:15||
- Itsik Pe'er, Associate Professor, Columbia University, United States [ Biography ]
- Thomas Wiegand, FG-A14H Chair, Fraunhofer HHI, Germany [ Biography ]
|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.
- 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: Jiook Cha, Assistant Professor of Neurobiology, Columbia University, United States [ Biography ]
Thomas Wiegand, FG-A14H Chair, Fraunhofer HHI, Germany [ Biography ]
Marcel Salathé, FG-AI4H Vice-Chair, EPFL, Switzerland [ Biography ]
- Sameer Pujari, FG-AI4H Vice-Chair, WHO [ Biography ]
- Stephen Ibaraki, FG-AI4H Vice-Chair, ACM and REDDS Capital, Canada [ 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
- Geraldine McGinty, Chief Strategy and Contracting Officer Assistant, Weill Cornell Medicine, United States [
Biography I Presentation ]
Fostering a Strong Ecosystem for AI in Medical Imaging
Arun Shroff, Co-founder & CTO, Medindia, Director, Technology & Innovation, STAR Associates, United States [
Biography I Presentation ]
AI to Prevent Vision Loss for Millions Globally
Paul Sajda, Professor, Columbia University, United States [ Biography I Presentation ]
Rehabilitating the Mind: Using AI to Track and Treat Mental Illness
- Narges Razavian, Assistant Professor, New York University, United States [ Biography I Presentation ]
Disease Prediction Using Machine Learning and Electronic Health Records
|10:45 - 11:15||
|11:15 - 12:30||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 ]
- George Hripcsak, Columbia University, United States [ Biography I Presentation ]
Data Availabilty and Benchmarking in Observational Health Data Sciences and Informatics (OHDSI)
Jean-Louis Raisaro, Post-doctoral Researcher, Lausanne University Hospital, Switzerland [ Biography I Presentation ]
Secure and Privacy-Preserving Benchmarking for Artificial Intelligence in Health
- Michele Ferrante, Program Director, National Institute of Mental Health, United States [ Biography I Presentation ]
- Naomi Lee, Executive Director (Digital), The Lancet [ Biography I Presentation ]
Evaluation of Medical Algorithms
|12:30 - 13:45||
|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.
- 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: Sameer Pujari, WHO [ Biography ]
- M. Khair Elzarrad, Deputy Director, Office of Medical Policy, Center for Drug Evaluation and Research (CDER), U.S. Food and Drug Administration (FDA), United States [ Biography I Presentation ]
Artificial Intelligence- Anticipating the Opportunities and the Challenges for Therapeutic Development
- Archana Reddy [ Biography I Presentation ]
AI in Drug Development: Opportunities and Challenges
- Mehul Mehta, Vice President, Partners Healthcare International, Instructor, Harvard Medical School, United States[ Biography I Presentation ]
|15:00 - 15:30||
|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 ]
- Paul Lee, Founder & CEO, Mind AI [ Biography I Presentation ]
Third Wave of AI in Healthcare
Mark Minevich, Strategic Advisor and Digital Fellow, IPsoft, United States [ 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.