On Tuesday, 22 January, 2019, the 3rd ITU/WHO Workshop on “Artificial Intelligence for Health” will take place at the École Polytechnique Fédérale de Lausanne (EPFL, [1]) in Switzerland.

Machine Learning/Artificial intelligence (see the differences AI-ML here!) in health informatics has the potential to support and improve medical diagnostics and treatment decision processes based on digital data. Example solutions may include decision support systems, the interpretation of laboratory results or imaging data, and the extraction of diagnostically relevant features from text or sensor time series. A standardized assessment of AI for health methods would assure the quality, thereby foster the adoption in practice, and have a strong impact on Global Health.

This workshop will be the third in a series of workshops linked to the ITU Focus Group on Artificial Intelligence for Health (FG-AI4H). The aim of these workshops is to provide a platform for researchers, engineers, practitioners, entrepreneurs and policy makers to discuss standardization opportunities for the assessment of AI for health solutions and to identify use cases and data required for the evaluation and validation with open benchmarks. The workshop will be followed by the third meeting of the ITU-T Focus Group on Artificial Intelligence for Health (FG-AI4H) that will be held from 23-25 January 2019 in the same venue.


The International Telecommunication Union (ITU; French: Union Internationale des Télécommunications (UIT)), originally called International Telegraph Union (French: Union Télégraphique Internationale), is a specialized agency of the United Nations (UN) that is responsible for issues that concern information and communication technologies on a global scale.

[1] The EPFL is one of the two Swiss Federal Institutes of Technology (the German speaking one is ETH Zürich) located in French-speaking Lausanne on the Lake Geneve and it a world top institution. https://www.epfl.ch/en/home/