Breakthrough in Bone Healing Monitoring: How RF Sensing and AI are Revolutionising Fracture Care

Bone fractures are a prevalent musculoskeletal injury, with healing complications posing a significant healthcare burden. Traditional monitoring methods often rely on X-rays, which are ionizing and provide limited information on healing progress. This article explores a novel approach using radiofrequency (RF) sensing and artificial intelligence (AI) for non-invasive and real-time monitoring of bone healing. We discuss the underlying principles of RF sensing for bone assessment, the role of AI in data analysis and image reconstruction, and the potential advantages of this technique over conventional methods. Finally, we address current challenges and future directions for RF sensing and AI in fracture care.

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Published
2024-10-21
DOI
https://doi.org/10.1109/camad62243.2024.10943005
Citations
1
Primary Topic
Artificial Intelligence in Healthcare and Education
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article
Field-Weighted Citation Impact
0.12
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article

Breakthrough in Bone Healing Monitoring: How RF Sensing and AI are Revolutionising Fracture Care

Joaquim Bastos, Rami Qahwaji, Ahmad Aldelemy, John G. Buckley et al.
1 citations
Artificial Intelligence in Healthcare and Education
0.12
article

Breakthrough in Bone Healing Monitoring: How RF Sensing and AI are Revolutionising Fracture Care

Joaquim Bastos, Rami Qahwaji, Ahmad Aldelemy, John G. Buckley, Raed A. Abd‐Alhameed, Aslan Nouri Moqadam, Prince O. Siaw, Ebenezer Adjei, Maryann Hardy, Peter Twig
article en
1 citations

Abstract

Bone fractures are a prevalent musculoskeletal injury, with healing complications posing a significant healthcare burden. Traditional monitoring methods often rely on X-rays, which are ionizing and provide limited information on healing progress. This article explores a novel approach using radiofrequency (RF) sensing and artificial intelligence (AI) for non-invasive and real-time monitoring of bone healing. We discuss the underlying principles of RF sensing for bone assessment, the role of AI in data analysis and image reconstruction, and the potential advantages of this technique over conventional methods. Finally, we address current challenges and future directions for RF sensing and AI in fracture care.

University of Bradford (GB), University of Tabriz (IR), Instituto de Telecomunicações (PT)
Zero hunger
Openalex Percentile: Top 45%
Artificial Intelligence in Healthcare and Education
0.12
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Breakthrough in Bone Healing Monitoring: How RF Sensing and AI are Revolutionising Fracture Care — Joaquim Bastos, Rami Qahwaji, et al. · (2024) | TGRS Research Map | TGRS