№ lp_1_15264
Defines standardized benchmarking for AI systems targeting maternal and child health, describing technical, ethical, and regulatory aspects for setting up assessment frameworks in low-resource settings.
Year: 2023
Organization: International Telecommunication Union (ITU)
Focus Group: FG-AI4H – Artificial Intelligence for Health
Topic Group: TG-MCH – Maternal and Child Health
Type of Document: Topic Description Document (TDD) / Deliverable DEL10.7
Editors: Alexandre Chiavegatto Filho, Gabriel Silva, Raghu Dharmaraju
Affiliation: University of São Paulo, Brazil; Wadhwani AI, India
License: Creative Commons Attribution-Non Commercial-Share Alike 3.0 IGO (CC BY-NC-SA 3.0 IGO)
Approval Date: 15 September 2023
Scope: Standardized benchmarking for AI applications in maternal and child health
Keywords: artificial intelligence, maternal health, child health, benchmarking, data quality, ethics, clinical relevance, regulations
Price: 8 / 10 USD
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