Artificial Intelligence in Biomedical Engineering Applications Towards Clinical Translation
A special issue of Bioengineering (ISSN 2306-5354). This special issue belongs to the section "Biomedical Engineering and Biomaterials".
Deadline for manuscript submissions: 31 May 2026 | Viewed by 94
Special Issue Editor
Interests: biomedical engineering; clinical imaging; artificial intelligence; digital physiology; clinical medicine; physics informed AI/ML
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Artificial Intelligence (AI) is transforming bioengineering in many disciplines by enabling faster, more accurate, and scalable solutions for healthcare. We have already seen several AI algorithms accelerating the translation of bioengineering innovations from laboratory research to clinical practice by analyzing complex biological data and modeling physiological systems. Several key areas of clinical translation of bioengineering research would benefit from AI-enhanced approaches, especially in medical imaging and diagnostics, biomaterials and tissue engineering, genomics and precision medicine, wearables and digital health, and computational modeling and simulation (digital twins). Several clinical translation challenges remain due to data issues, model generalizability, ethical and regulatory barriers, and integration into clinical workflows, which need to be addressed immediately for positive outcomes. Additionally, focusing on explainable AI (XAI), multimodal AI, real-time AI and AI-driven clinical trials, is crucial to enabling faster and more reliable solutions for patients and clinical practice. There is no doubt that AI is becoming a central enabler in bioengineering, offering tools to bridge the gap between research and clinical translation.
We solicit original articles and review papers that cover any of these topics encompassing:
AI-powered bioengineering that has the potential to accelerate personalized medicine, improve patient outcomes, and revolutionize healthcare delivery.
Dr. Shivaram Poigai Arunachalam
Guest Editor
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Keywords
- artificial intelligence (AI)
- bioengineering
- clinical translation
- medical imaging
- digital twins
- precision medicine
- digital health
- explainable AI (XAI)
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