Artificial intelligence and machine learning-driven design of self-healing biomedical composites

The research examines ethical aspects, encompassing data protection, algorithmic transparency, and adherence to regulatory standards such as FDA and ISO 10,993. The paper emphasizes the transformational potential of AI/ML in facilitating intelligent, responsive, and patient-specific composite designs, while also addressing possible issues such as dataset bias and algorithmic opacity. The results indicate that AI-enhanced self-healing systems will be pivotal in the future of customized medicine.

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Publication Details

Journal
Expert Review of Medical Devices
Published
2025-06-16
DOI
https://doi.org/10.1080/17434440.2025.2520291
Citations
13
Primary Topic
Polymer composites and self-healing
Type
article
Field-Weighted Citation Impact
7.89
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article

Artificial intelligence and machine learning-driven design of self-healing biomedical composites

K. Amudhan, Senthil Maharaj Kennedy, R. Robert, K. Padmapriya
13 citations
Expert Review of Medical Devices
Polymer composites and self-healing
7.89
article

Artificial intelligence and machine learning-driven design of self-healing biomedical composites

K. Amudhan, Senthil Maharaj Kennedy, R. Robert, K. Padmapriya
article en
13 citations

Abstract

The research examines ethical aspects, encompassing data protection, algorithmic transparency, and adherence to regulatory standards such as FDA and ISO 10,993. The paper emphasizes the transformational potential of AI/ML in facilitating intelligent, responsive, and patient-specific composite designs, while also addressing possible issues such as dataset bias and algorithmic opacity. The results indicate that AI-enhanced self-healing systems will be pivotal in the future of customized medicine.

Expert Review of Medical DevicesVol. 22(8)
ASA College (US), AAA College of Engineering and Technology
Openalex Percentile: Top 2%
Polymer composites and self-healing
7.89
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