Enhancing Medical Services Through Machine Learning and UAV Technology

Author:

Saeed Rashid A.1ORCID,Saeed Mamoon M.2,Ahmed Zeinab E.3ORCID,Hashim Aisha H. A.4

Affiliation:

1. Department of Computer Engineering, College of Computers and Information Technology, Taif University, Saudi Arabia

2. Department of Communications and Electronics Engineering, Faculty of Engineering, University of Modern Sciences, Yemen

3. Department of Computer Engineering, University of Gezira, Sudan & Department of Electrical and Computer Engineering, International Islamic University Malaysia, Malaysia

4. Department of Electrical and Computer Engineering, International Islamic University Malaysia, Malaysia

Abstract

This chapter focuses on the enhancement of medical services through the integration of unmanned aerial vehicle (UAV) technology and machine learning algorithms. It explores the broad spectrum of applications and benefits that arise from combining these two technologies. By employing UAVs for automated delivery, medical supplies can be efficiently transported to remote or inaccessible regions, thereby improving access to vital items. Remote patient monitoring, facilitated through UAVs and machine learning, enables real-time data collection and analysis, enabling the early identification of health issues. UAVs equipped with medical equipment and machine learning capabilities enhance emergency medical response by providing immediate assistance during critical situations. Disease surveillance and outbreak management can benefit from the use of UAVs and machine-learning algorithms to identify disease hotspots and predict the spread of illnesses.

Publisher

IGI Global

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Algorithm for Resource Allocation and Computing Offloading in 6G Networks: Deep Reinforcement Learning-based;2024 9th International Conference on Mechatronics Engineering (ICOM);2024-08-13

2. Multi-Access Edge Computing Using Intelligent Mobile User Resource Allocation In 6G;2024 IEEE 4th International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering (MI-STA);2024-05-19

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