Transient Implantable Electronics for Postsurgery Preventive Medicine
Abstract The field of postoperative care has seen a remarkable shift toward the utilization of electronic implantable devices, including sensors, biosensors, stimulators, and drug delivery systems, all designed with a biodegradable form factor and wireless data/power transmission capability. These technologies hold immense potential for postsurgery out‐of‐hospital monitoring during the postdischarged period, where continuous monitoring of physiological signals is lacking. Furthermore, these devices eliminate the need for secondary surgeries required for device retrieval as they can safely degraded in the body, thus enhancing patient recovery. This review delves into the latest advancements in biodegradable implantable devices, examining their application in monitoring vital signs, the innovative wireless communication and powering technologies they employ, and the biodegradable materials that enable their function. The analysis extends to evaluating the efficacy and limitations of these devices across various medical applications. Moreover, it explores future research directions, emphasizing material advancements, device miniaturization, customization, and the integration of artificial intelligence to create closed‐loop therapeutic systems. This comprehensive review underscores the transformative potential of these technologies in enhancing postoperative care and outlines the pathway for future innovations in this dynamic field.
Authors
- Mehrdad Khodapanahandeh (ORCID: https://orcid.org/0000-0001-9087-1915)
- Parviz Zolfaghari (ORCID: https://orcid.org/0000-0003-4724-681X)
- Hadi Mirzajani (ORCID: https://orcid.org/0000-0001-7747-2389)
- Sattar Akbari Nakhjavani (ORCID: https://orcid.org/0000-0002-5693-350X)
- Hakan Ürey (ORCID: https://orcid.org/0000-0002-2031-7967)
- Beril Yagmur Koca
Institutions
- Koç University (TR)
Publication Details
- Journal
- Advanced Functional Materials
- Published
- 2024-10-23
- DOI
- https://doi.org/10.1002/adfm.202413324
- Citations
- 16
- Primary Topic
- Neuroscience and Neural Engineering
- Type
- article
- Field-Weighted Citation Impact
- 4.29