ItemBook Chapter

Leveraging AI and Machine Learning for Healthcare Accessibility: Enhancing Clinical Decision Support Systems in Rural Africa

Title
Leveraging AI and Machine Learning for Healthcare Accessibility: Enhancing Clinical Decision Support Systems in Rural Africa
Creator
Jain, Vishal; Mitra, Archan; Kumar, R. Ravi; Ravikumar, Aishwarya
Description
Healthcare in rural Africa is hindered by resource scarcity, limited infrastructure, and a shortage of trained professionals, contributing to high mortality and morbidity rates. This study examines the transformative potential of artificial intelligence (AI) and machine learning (ML) in clinical decision support systems (CDSS) to address these challenges. Focusing on diseases prevalent in the region, such as malaria, HIV/AIDS, and noncommunicable illnesses like diabetes, the research develops and evaluates AI-enhanced CDSS to improve diagnostic accuracy, treatment planning, and healthcare accessibility. This research contributes a framework for deploying AI-driven CDSS in resource-limited settings, with implications for enhancing global health outcomes. 2026 selection and editorial matter, Wasswa Shafik, Adel Ben Youssef, Chithirai Pon Selvan and Pushan Kumar Dutta; individual chapters, the contributors.
Source
Sustainable Healthcare Systems in Africa: Technologies, Practices, and Management;pp.286-297
Date
01-01-2025
Publisher
CRC Press
Coverage
Jain V., Nitte Institute of Communication, Deemed to be University, India; Mitra A., Nitte Institute of Communication, Deemed to be University, India; Kumar R.R., Institute of Management & Commerce, Srinivas University, India; Ravikumar A., MDS Oral and Maxillofacial SurgerySenior Resident, Government Dental College & Hospital, India
Rights
Restricted Access; Hardcopy may be available in the library
Relation
ISBN: 978-104043747-6; 978-103287020-5;
Format
online
Language
English
Type
Book chapter

Citation

Jain, Vishal; Mitra, Archan; Kumar, R. Ravi; Ravikumar, Aishwarya, “Leveraging AI and Machine Learning for Healthcare Accessibility: Enhancing Clinical Decision Support Systems in Rural Africa,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 19, 2026, https://archives.christuniversity.in/items/show/24364.

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