Enhancing medical services through machine learning and UAV technology: applications and benefits

Saeed, Rashid A and Saeed, Mamoon M and Ahmed, Zeinab E and Hassan Abdalla Hashim, Aisha (2024) Enhancing medical services through machine learning and UAV technology: applications and benefits. In: Applications of Machine Learning in UAV Networks. IGI Global, Hershey, Pennsylvania, USA, pp. 307-343. ISBN 979-8-3693-0578-2

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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.

Item Type:	Book Chapter
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices > TK7885 Computer engineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Electrical and Computer Engineering Kulliyyah of Engineering
Depositing User:	Prof. Dr. Aisha Hassan Abdalla Hashim
Date Deposited:	31 May 2024 08:45
Last Modified:	04 Jun 2024 08:35
URI:	http://irep.iium.edu.my/id/eprint/112373

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