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.
Authors
- K. Amudhan
- Senthil Maharaj Kennedy
- R. Robert
- K. Padmapriya
Institutions
- ASA College (US)
- AAA College of Engineering and Technology
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