According to the World Health Organization (WHO), over 130 million people are in need of humanitarian assistance, which can be related, among other factors, to natural disasters, disease outbreaks, and conflicts [1]. Man aging a major health crisis requires addressing issues at various levels, from  prevention and preparedness to response and recovery. Worldwide, and espe cially in low- to middle-income countries, a major health crisis can compro mise the resilience of a country’s healthcare systems, which are essential for  achieving the health objectives of the sustainable development goals (SDGs). Decision making during humanitarian health crises must be rapid and formed, and new technologies, especially those based on artificial intelligence (AI) techniques, are required; emerging data sources, such as social media, can facilitate this process [2]. Dealing with big data for a humanitarian health response is becoming increasingly necessary [3]; however, questions arise about how to apply AI techniques and utilize social media for humani tarian and global health issues. This paper aims to provide an overview of the current state of the art in the use of AI and social media for humanitarian and global health. The purpose of this paper overlaps with various areas, including global health, crisis computing, humanitarian health, and digital health in low- to middle income countries. The focus of this work is to study the role of AI in the application of digital health in those areas.