Global Report on Al Development and Use for Healthcare (Singapore)
Author(s): Wei Junyi, Tiffany Grace Sajoto, Zheng Peirong, Song Zhuowei, Lau Kai Heng, Kim Yu Ling Background In this paper, we will dive into the global engagement of nations in the realm of AI-driven healthcare and pinpoint areas of enhancement that can foster equity, fairness, and inclusivity in AI-based healthcare technology. Generally, the potential lack…
Keep readingArtificial Intelligence in the Medical Industry: Australia
Author(s): Toto Zhang Abstract This article will explore the use of Artificial Intelligence in the medical industry around Australia and how AI is being used more and more often to diagnose and treat ailments. The report will explore how the increasing popularity of using AI in healthcare can bring disadvantages, specifically to the minority races…
Keep readingAI in Healthcare: São Tomé and Príncipe
Author(s): Ernaldson Sousa Gomes Abstract In this report, I will address the level of knowledge and awareness of healthcare professionals in São Tomé and Príncipe about Artificial Intelligence (AI) and its applications in the medical field, as well as other aspects related to the adoption of AI in healthcare. AI Awareness Based on available information,…
Keep readingAddressing Racial Bias in Cardiovascular Disease Risk Prediction with Fair Data Augmentation
i.equalcare x Chinese University of Hong Kong (Shenzhen) The full paper was presented at the 2023 ICCNS (IEEE-Sponsored First International Conference on Computational Intelligence, Networks and Security). A pdf copy can be found below. In this project, we use health survey data from the Centers for Disease Control and Prevention (CDC) to predict cardiovascular disease…
Keep readingi.equalcare AI Health Feature
Summaries of digital healthcare and AI in Lebanon, Cameroon, and Malaysia, provided by i.equalcare volunteers Lebanon from Joe Elhage: Cameroon from Bradley Mbibong Muluh and Bono Mbelle Aurelien Malaysia from Hoh Chew Wen
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