Advancing healthcare through intelligent human-robot collaboration: overview, challenges and opportunities

Mohamed Adlan Ait Ameur; Erfu Yang; Scott Brady

doi:10.1109/icac61394.2024.10718809

Advancing healthcare through intelligent human-robot collaboration: overview, challenges and opportunities

Mohamed Adlan Ait Ameur, Erfu Yang, Scott Brady

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

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Abstract

Integrating intelligent robots into healthcare environments promises to revolutionise patient care, diagnosis, treatment, and rehabilitation. This paper reviews the current state of Human-Robot Collaboration (HRC) in healthcare, highlighting significant advancements and challenges. It provides a comprehensive overview of critical terminologies and concepts, reviews the latest robotics technologies, and explores their potential to enhance healthcare delivery. Our review reveals substantial opportunities for robots to augment healthcare professionals, improve patient monitoring, and manage repetitive or physically demanding tasks. We also discuss the critical challenges of ensuring patient safety, maintaining privacy and data security, addressing ethical considerations, and overcoming technical limitations such as interoperability and adaptability in diverse healthcare settings. By examining recent studies and innovations, this paper identifies emerging trends and suggests future directions for research and development in HRC within the healthcare sector.

Original language	English
Title of host publication	2024 29th International Conference on Automation and Computing (ICAC)
Publisher	IEEE
Pages	1-6
Number of pages	6
ISBN (Electronic)	979-8-3503-6088-2
ISBN (Print)	979-8-3503-6089-9
DOIs	https://doi.org/10.1109/icac61394.2024.10718809
Publication status	Published - 23 Oct 2024
Event	The 29th International Conference on Automation and Computing (ICAC 2024) - The University of Sunderland, Sunderland, United Kingdom Duration: 28 Aug 2024 → 30 Aug 2024 https://cacsuk.co.uk/icac/

Conference

Conference	The 29th International Conference on Automation and Computing (ICAC 2024)
Abbreviated title	ICAC 2024
Country/Territory	United Kingdom
City	Sunderland
Period	28/08/24 → 30/08/24
Internet address	https://cacsuk.co.uk/icac/

Funding

This work is funded by the Strathclyde Studentship project “Intelligent Human-Robot Collaboration for Future Advanced Healthcare Applications” (2023-2026), under stu-dentship number 3090.

Keywords

healthcare
human-robot collaboration
artificial intelligence
asssistive technology
smart devices

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/icac61394.2024.10718809

Advancing_Healthcare_Through_Intelligent_Human_Robot_Collaboration
For the purposes of open access, a CC BY 4.0 licence has been applied to the accepted manuscript
Accepted author manuscript, 6.36 MBLicence: CC BY 4.0

Intelligent Human-Robot Collaboration for Future Advanced Healthcare Applications
Yang, E. (Principal Investigator), Liang, S. (Co-investigator) & Ait Ameur, M. A. (Researcher)
1/10/23 → 30/09/26
Project: Research - Studentship

Cite this

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title = "Advancing healthcare through intelligent human-robot collaboration: overview, challenges and opportunities",

abstract = "Integrating intelligent robots into healthcare environments promises to revolutionise patient care, diagnosis, treatment, and rehabilitation. This paper reviews the current state of Human-Robot Collaboration (HRC) in healthcare, highlighting significant advancements and challenges. It provides a comprehensive overview of critical terminologies and concepts, reviews the latest robotics technologies, and explores their potential to enhance healthcare delivery. Our review reveals substantial opportunities for robots to augment healthcare professionals, improve patient monitoring, and manage repetitive or physically demanding tasks. We also discuss the critical challenges of ensuring patient safety, maintaining privacy and data security, addressing ethical considerations, and overcoming technical limitations such as interoperability and adaptability in diverse healthcare settings. By examining recent studies and innovations, this paper identifies emerging trends and suggests future directions for research and development in HRC within the healthcare sector.",

keywords = "healthcare, human-robot collaboration, artificial intelligence, asssistive technology, smart devices",

author = "{Ait Ameur}, {Mohamed Adlan} and Erfu Yang and Scott Brady",

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pages = "1--6",

booktitle = "2024 29th International Conference on Automation and Computing (ICAC)",

publisher = "IEEE",

note = "The 29th International Conference on Automation and Computing (ICAC 2024), ICAC 2024 ; Conference date: 28-08-2024 Through 30-08-2024",

url = "https://cacsuk.co.uk/icac/",

}

Ait Ameur, MA , Yang, E & Brady, S 2024, Advancing healthcare through intelligent human-robot collaboration: overview, challenges and opportunities. in 2024 29th International Conference on Automation and Computing (ICAC). IEEE, pp. 1-6, The 29th International Conference on Automation and Computing (ICAC 2024), Sunderland, United Kingdom, 28/08/24. https://doi.org/10.1109/icac61394.2024.10718809

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AB - Integrating intelligent robots into healthcare environments promises to revolutionise patient care, diagnosis, treatment, and rehabilitation. This paper reviews the current state of Human-Robot Collaboration (HRC) in healthcare, highlighting significant advancements and challenges. It provides a comprehensive overview of critical terminologies and concepts, reviews the latest robotics technologies, and explores their potential to enhance healthcare delivery. Our review reveals substantial opportunities for robots to augment healthcare professionals, improve patient monitoring, and manage repetitive or physically demanding tasks. We also discuss the critical challenges of ensuring patient safety, maintaining privacy and data security, addressing ethical considerations, and overcoming technical limitations such as interoperability and adaptability in diverse healthcare settings. By examining recent studies and innovations, this paper identifies emerging trends and suggests future directions for research and development in HRC within the healthcare sector.

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KW - human-robot collaboration

KW - artificial intelligence

KW - asssistive technology

KW - smart devices

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PB - IEEE

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ER -

Advancing healthcare through intelligent human-robot collaboration: overview, challenges and opportunities

Abstract

Conference

Funding

Keywords

UN SDGs

Access to Document

Fingerprint

Projects

Intelligent Human-Robot Collaboration for Future Advanced Healthcare Applications

Cite this