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What is Medical Ontology

Chapter 16
Driving Smart Medical Diagnosis Through AI-Powered Technologies and Applications
Medical ontology systematically represents medical concepts, entities, and relationships within a structured framework. It provides a standardized and formalized way to organize medical knowledge, enabling effective communication and sharing of information across different healthcare systems and applications. Medical ontology is integral to the development of semantic interoperability in
Published in Chapter:
An Integrated Approach to Next-Generation Telemedicine and Health Advice Systems Through AI Applications in Disease Diagnosis
Rita Komalasari (Universitas Yarsi, Indonesia) and Alex Khang (Global Research Institute of Technology and Engineering, USA)
Copyright: © 2024 |Pages: 17
DOI: 10.4018/979-8-3693-3679-3.ch016
Abstract
This chapter explores the transformative potential of integrating knowledge engineering and artificial intelligence in healthcare, focusing on constructing a knowledge-based clinical decision support system (KBCDS). The primary objective is to design an AI-enabled health portal to enhance accessibility to medical advice globally. The study investigates the application of AI in diagnosing COVID-19 and pneumonia, aiming to improve diagnostic accuracy and speed, reducing the burden on healthcare systems, and saving lives. The research is based on extensive literature study, delving into the depths of knowledge engineering, AI applications in healthcare, and medical ontology. The findings underscore the transformative potential of the integrated approach, highlighting its impact on healthcare disparities globally. The AI-enabled health portal proves to be a reliable source of medical advice, demonstrating that the fusion of knowledge engineering and AI technologies empowers medical professionals and significantly enhances healthcare accessibility and diagnostic capabilities.
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