AI4Health

Artificial Intelligence for Health

Accelerating the United Nations

Sustainable Development Goals

6th ITU/WHO Workgroup and Focus Group on AI for Health meeting

Zanzibar, Tanzania, 2- 5 September 2019

The goal of the Focus Group is to establish a standardized assessment framework for the evaluation of AI-based method for health. Participation is open and free of charge.

Artifical Intelligence for Health

The ITU/WHO Focus Group on artificial intelligence for health (FG-AI4H) works in partnership with the World Health Organization (WHO) to establish a standardized assessment framework for the evaluation of AI-based methods for health, diagnosis, triage or treatment decisions. Participation in the FG-AI4H is free of charge and open to all. The group was established by ITU-T Study Group 16 at its meeting in Ljubljana, Slovenia, 9-20 July 2018, for an initial term ​​of 2 years.

The FG scope and general process are described in a commentary in The Lancet and a white paper. The documentation of all previous meetings can be found on the collaboration site.

Participation in the Focus Group is primarily through its online platforms such as the mailing list, the collaboration site, and e-meetings.

Key output documents
GOVERNMENT
INDUSTRY
UN AGENCIES
CIVIL SOCIETY
INTERNATIONAL
ORGANIZATIONS
ACADEMIA

A multi-stakeholder, inter-disciplinary approach…

Developing a benchmarking process for health AI models that can act as an international, independent, standard evaluation framework. To establish this evaluation and benchmarking process, FG-AI4H is calling for participation from medical, public health, AI, data analytics, and policy experts.

Topic groups are being formed by communities of stakeholders allowing FG-AI4H to develop its processes for AI evaluation and benchmarking specific for each health topic. Each topic use case will be reviewed for its relevance and should impact a large and diverse part of the global population or solve a health problem that is difficult or expensive.

GOVERNMENT
INDUSTRY
UN AGENCIES
CIVIL SOCIETY
INTERNATIONAL
ORGANIZATIONS
ACADEMIA

A multi-stakeholder, inter-disciplinary approach…

Developing a benchmarking process for health AI models that can act as an international, independent, standard evaluation framework. To establish this evaluation and benchmarking process, FG-AI4H is calling for participation from medical, public health, AI, data analytics, and policy experts.

Topic groups are being formed by communities of stakeholders allowing FG-AI4H to develop its processes for AI evaluation and benchmarking specific for each health topic. Each topic use case will be reviewed for its relevance and should impact a large and diverse part of the global population or solve a health problem that is difficult or expensive.

Topic Areas

Dermatology

One in every three cancers diagnosed is a skin cancer, and every year approximately 3 million new cases of skin cancer is detected worldwide, more than breast cancer, prostate cancer, lung cancer and colon cancer combined.

Falls among the elderly

Falls are one of the most common health problems in the elderly population, about a third of community-dwelling adults aged 65 years or older fall each year, and these events represent more than 50% of the hospitalizations due to lesions in this age group.

Ophthalmology

Dedicated to using artificial intelligence for the detection and diagnostics of ophthalmological diseases and conditions, in particular Diabetic Retinopathy (DR), from retinal images.

Psychiatry

Psychiatric disorders are among the most common and debilitating illnesses across the lifespan and begin usually prior to age 24, which emphasizes the need for increased focus on studies of the developing brain.

Symptom assessment

AI-based symptom assessment is one of the most promising applications in the field of AI4H. The World Health Organization estimates the shortage of Global Health workers to increase from 7.2 million in 2013 to 12.9 million by 2035.

Tuberculosis

Tuberculosis (TB) is a huge problem worldwide with about 50 % of the cases in BRICS countries. With an estimated 2.3 million reported cases in 2011 and an additional 1 million undocumented cases, India has the highest prevalence of TB in the world.

Snakebite and snake identification

Snakebite envenoming is a major global health issue and neglected humanitarian crisis. Today, 5 million snake bites occur globally every year causing 125,000 deaths and 400,000 victims of disability/disfigurement.

Cardiovascular disease risk prediction
Histopathology
Neuro-cognitive diseases
Outbreak dete​ction
Radiotherapy
Volumetric chest computed tomography​

Management Team

THOMAS WIEGAND
FG-AI4H Chair, Professor, and Executive Director
Fraunhofer Heinrich Hertz Institute

Thomas Wiegand is a German electrical engineer who substantially contributed to the creation of the H.264/MPEG-4 AVC and H.265/MPEG-H HEVC video coding standards. For H.264/MPEG-4 AVC, Wiegand was one of the chairmen of the Joint Video Team (JVT) standardization committee that created the standard and was the chief editor of the standard itself. He was also an active technical contributor to both standards. Wiegand also holds a chairmanship position in the ITU-T VCEG and previously in ISO/IEC MPEG standardization organizations. In July 2006, the video coding work of the ITU-T jointly led by Gary J. Sullivan and Wiegand for the preceding six years was voted as the most influential area of the standardization work of the CCITT and ITU-T in their 50-year history.

Wiegand is Professor at the Technical University of Berlin and executive director of the Fraunhofer Heinrich Hertz Institute, Berlin, Germany. He heads research teams working on : Video processing and coding, Multimedia transmission, Machine learning, Mobile Communications (management) and Computer Vision (management).

RAMESH KRISHNAMURTHY
Senior Advisor, Department of Information, Evidence and Research
World Health Organization (WHO)
STEPHEN IBARAKI
ACM Board member, past-chair; Board PDC Chair
Association for Computing Machinery (ACM)

Stephen K. Ibaraki has been a teacher, an industry analyst, writer and consultant in the IT industry, and the former president of the Canadian Information Processing Society.

Currently, Ibaraki is a venture capitalist, entrepreneur, futurist and speaker. He is also a founding member of the UN ITU AI for Good Global Summit, founding chair of the Financial Services Roundtable Tech Advisory Council, and founding chair of the International Federation for Information Processing Global Industry Council. Ibaraki serves as an Advisor for the Business Development Committee of the IEEE Computer Society. He is the co-founder for the Technology Advisory Board at Yintech Investment Holdings Limited.

NAOMI LEE
FG-AI4H Vice-Chair, Executive Editor; AI for Humanizing Health Solution Track Co-Chair
The Lancet Journal

Naomi Lee is Executive Editor (Digital) for The Lancet. Naomi handles peer review and commissioning for The Lancet with a special interest in surgery, health informatics and medical technology. As part of the marketing and communications team, she also leads digital transformation for The Lancet group. Naomi trained in surgery, specializing in urology and has worked in the United Kingdom, Argentina, and Mexico. She studied medicine at Cambridge University and King’s College London, and is currently studying data science at University College London. Naomi joined The Lancet in 2014.

Working Groups

WG-DAISAM

Data and AI solution assessment methods

WG-DASH

Data and AI solution ​handling

WG-O

Data and AI solution assessment methods

WG-RC

Regulatory considerations on AI for health

WG-HR

​​​​Health requirements

How to Register

An ITU user account is required to register your interest in the AI for health activities.

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Subscribe to the Mailing List

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AI for Health mailing list

1. Click here to open ​the AI4H service directory​​.​

2. Select ​fgai4h mailing list and click Subscribe.​

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NOTES​: Persons NOT working for an ITU member should select the option “Media/Non-member”. “Academia” in that page means academic institutions that are members of ITU. If in doubt, check the ​search page for ITU member organizations​.