Bio-Inspired Artificial Intelligence in Healthcare
A special issue of Biomimetics (ISSN 2313-7673).
Deadline for manuscript submissions: 30 June 2025 | Viewed by 400
Special Issue Editors
Interests: computer-aided medical analysis; robotic control and design
Special Issues, Collections and Topics in MDPI journals
Interests: robotics; healthcare robotics; machine learning; human robot interaction
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The convergence of artificial intelligence (AI) and biomimetics presents groundbreaking opportunities to revolutionize healthcare. By drawing inspiration from biological systems, this interdisciplinary field explores innovative solutions to address complex medical challenges. In this rapidly evolving domain, research predominantly focuses on utilizing AI to emulate adaptive mechanisms observed in nature, leading to advances in diagnostics, medical devices, and personalized treatments.
Additionally, biomimetic principles, such as those inspired by fungal networks and bionic flight dynamics, are offering new perspectives in healthcare innovation. For instance, fungal-inspired architectures are informing the development of self-healing and adaptive medical implants, while flight-inspired dynamics are influencing drone-based medical logistics. These bio-inspired solutions promise not only efficiency and resilience, but also a sustainable approach to healthcare challenges.
This Special Issue aims to bring together cutting-edge research and foster collaboration across disciplines, including AI, biomimetics, healthcare, robotics, and materials science. By integrating these diverse perspectives, we anticipate uncovering new opportunities for innovation and advancing our understanding of bio-inspired AI applications in healthcare.
We invite researchers, practitioners, and innovators to contribute original research, reviews, or case studies addressing bio-inspired AI in healthcare. Submissions may explore, but are not limited to, the following topics:
- AI-driven diagnostics inspired by natural systems;
- Bio-inspired materials for self-healing and adaptive medical devices;
- Fungal architecture-inspired healthcare applications;
- Flight-inspired robotics for medical logistics and disaster response;
- Computational modelling of bio-inspired healthcare systems;
- Sustainability and resource optimization in bio-inspired medical technologies.
Dr. Dongxu Gao
Prof. Dr. Zhaojie Ju
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Biomimetics is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2200 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- artificial intelligence in healthcare
- biomimetics
- bio-inspired medical devices
- fungal architectures
- adaptive learning systems
- self-healing implants
- medical prosthetics
- healthcare innovation
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