ITU-WHO Focus Group on Artificial Intelligence for Health
March 10, 2023
The ITU-WHO Focus Group on Artificial Intelligence for Health (AI for Health) is an inter-agency collaboration between the World Health Organization and the ITU, which created a benchmarking framework to assess the accuracy of AI in health.[1][2]
ITU-WHO Focus Group on Artificial Intelligence for Health
ITU-WHO Focus Group on Artificial Intelligence for Health
This organization convenes an international network of experts and stakeholders from fields like research, practice, regulation, ethics, public health, etc, that develops guideline documentation and code. The documents address ethics, assessment/evaluation, handling, and regulation of AI for health solutions, covering specific use cases including AI in ophthalmology, histopathology, dentistry, malaria detection, radiology, symptom checker applications, etc. FG-AI4H has established an ad hoc group concerned with digital technologies for health emergencies, including COVID-19. All documentation is public.[3]
The idea for the Focus Group came out of the Health Track of the 2018 AI for Good Global Summit.[3] Administratively, FG-AI4H was created by ITU-T Study Group 16. Under ITU-T's framework, participation in Focus Groups is open to anyone from an ITU Member State. The secretariat is provided by the Telecommunication Standardization Bureau (under Director Chaesub Lee). It was first created at the July 2018 meeting with a lifetime of two years,[4] at the July 2020 meeting this was extended for another two years, where the focus group also submitted its deliverables to its parent body.[5] It was also presented at the NeurIPS 2020 health workshop.[6]
The outline of the benchmarking framework was published in a commentary in The Lancet as: WHO and ITU establish benchmarking process for artificial intelligence in health [1]
^ abWiegand, Thomas; Krishnamurthy, Ramesh; Kuglitsch, Monique; Lee, Naomi; Pujari, Sameer; Salathé, Marcel; Wenzel, Markus; Xu, Shan (2019-07-06). "WHO and ITU establish benchmarking process for artificial intelligence in health". The Lancet. 394 (10192): 9–11. doi:10.1016/S0140-6736(19)30762-7. ISSN 0140-6736. PMID 30935732. S2CID 85567072.
^Wiegand, Thomas; Lee, Naomi; Pujari, Sameer; Singh, Manjula; Xu, Shan; Lecoultre, Marc; Riviere-Cinnamond, Ana; Weicken, Eva; Wenzel, Markus; Campos, Simão; Quast, Bastiaan (2020). "Whitepaper for the ITU/WHO Focus Group on Artificial Intelligence for Health" (PDF). International Telecommunication Union.
^ ab"Focus Group on "Artificial Intelligence for Health"". www.itu.int. from the original on 2020-07-26. Retrieved 2021-01-22.
^"Meeting results (2018-07-09~20)". www.itu.int. from the original on 2020-07-26. Retrieved 2020-07-26.
^"SG16 results (Geneva, 26 June - 3 July 2020)". www.itu.int. from the original on 2020-07-26. Retrieved 2020-07-26.
^Oala, Luis; Fehr, Jana (2020). "ML4H Auditing: From Paper to Practice" (PDF). Proceedings of Machine Learning Research. 136: 281–317.
External links
FG-AI4H main site
Open Code Initiative
March 10, 2023
focus, group, artificial, intelligence, health, health, inter, agency, collaboration, between, world, health, organization, which, created, benchmarking, framework, assess, accuracy, health, abbreviationai, healthformation2018typestandards, organizationpurpose. The ITU WHO Focus Group on Artificial Intelligence for Health AI for Health is an inter agency collaboration between the World Health Organization and the ITU which created a benchmarking framework to assess the accuracy of AI in health 1 2 ITU WHO Focus Group on Artificial Intelligence for HealthITU WHO Focus Group on Artificial Intelligence for HealthAbbreviationAI for HealthFormation2018TypeStandards organizationPurposeBenchmarking framework for AI in health diagnostic aidsLocationGeneva SwitzerlandRegion servedWorldwideChairmanThomas WiegandVice ChairmanStephen IbarakiSecretarySimao CamposParent organizationITU T Study Group 16SubsidiariesWorking Groups and Topic GroupsAffiliationsITU T World Health OrganizationWebsitewww wbr itu wbr int wbr go wbr fgai4h wbr This organization convenes an international network of experts and stakeholders from fields like research practice regulation ethics public health etc that develops guideline documentation and code The documents address ethics assessment evaluation handling and regulation of AI for health solutions covering specific use cases including AI in ophthalmology histopathology dentistry malaria detection radiology symptom checker applications etc FG AI4H has established an ad hoc group concerned with digital technologies for health emergencies including COVID 19 All documentation is public 3 The idea for the Focus Group came out of the Health Track of the 2018 AI for Good Global Summit 3 Administratively FG AI4H was created by ITU T Study Group 16 Under ITU T s framework participation in Focus Groups is open to anyone from an ITU Member State The secretariat is provided by the Telecommunication Standardization Bureau under Director Chaesub Lee It was first created at the July 2018 meeting with a lifetime of two years 4 at the July 2020 meeting this was extended for another two years where the focus group also submitted its deliverables to its parent body 5 It was also presented at the NeurIPS 2020 health workshop 6 The outline of the benchmarking framework was published in a commentary in The Lancet as WHO and ITU establish benchmarking process for artificial intelligence in health 1 Contents 1 Overview 2 Deliverables 3 See also 4 References 5 External linksOverview EditThe benchmarking framework is structured in a cyclical fashion that denoted the continuous improvement nature of AI in health models ITU WHO FG AI4H Benchmarking FrameworkDeliverables EditThe specifications drawn up by FG AI4H are titled as AI4H ethics considerations AI4H regulatory best practices considerations AI4H requirements specification AI software life cycle specification Data specification AI training best practices specification AI4H evaluation considerations AI4H scale up and adoption AI4H applications and platforms Use cases of the ITU WHO Focus Group on AI for HealthAn overview of the schematic relations is provided as depicted below See also EditWorld Health Organization WHO ITU Telecommunication Standardization Sector Artificial intelligence in healthcare Digital health Artificial Intelligence Machine LearningReferences Edit a b Wiegand Thomas Krishnamurthy Ramesh Kuglitsch Monique Lee Naomi Pujari Sameer Salathe Marcel Wenzel Markus Xu Shan 2019 07 06 WHO and ITU establish benchmarking process for artificial intelligence in health The Lancet 394 10192 9 11 doi 10 1016 S0140 6736 19 30762 7 ISSN 0140 6736 PMID 30935732 S2CID 85567072 Wiegand Thomas Lee Naomi Pujari Sameer Singh Manjula Xu Shan Lecoultre Marc Riviere Cinnamond Ana Weicken Eva Wenzel Markus Campos Simao Quast Bastiaan 2020 Whitepaper for the ITU WHO Focus Group on Artificial Intelligence for Health PDF International Telecommunication Union a b Focus Group on Artificial Intelligence for Health www itu int Archived from the original on 2020 07 26 Retrieved 2021 01 22 Meeting results 2018 07 09 20 www itu int Archived from the original on 2020 07 26 Retrieved 2020 07 26 SG16 results Geneva 26 June 3 July 2020 www itu int Archived from the original on 2020 07 26 Retrieved 2020 07 26 Oala Luis Fehr Jana 2020 ML4H Auditing From Paper to Practice PDF Proceedings of Machine Learning Research 136 281 317 External links EditFG AI4H main site Open Code Initiative Retrieved from https en wikipedia org w index php title ITU WHO Focus Group on Artificial Intelligence for Health amp oldid 1143208254, wikipedia, wiki, book, books, library,
