Artificial Intelligence in Biomedical Engineering: Challenges and Developments

Dear Colleagues,

This Special Issue titled “Artificial Intelligence in Biomedical Engineering: Challenges and Developments” explores the integration of AI technologies into the field of biomedical engineering. With a focus on applications such as medical image analysis, disease diagnosis, and personalized medicine, this issue provides a platform for researchers to showcase recent advancements and address current challenges. By fostering interdisciplinary dialogue and collaboration, it aims to accelerate innovation in healthcare and contribute to the ongoing evolution of AI-driven biomedical engineering.

Focus: The focus of the Special Issue “Artificial Intelligence in Biomedical Engineering: Challenges and Developments” is to explore the intersection of artificial intelligence (AI) and biomedical engineering. This involves understanding how AI technologies can be applied in the field of biomedical engineering to address various challenges and foster development.

Scope: The scope encompasses a wide range of topics within the realm of AI in biomedical engineering. This may include, but is not limited to, the following:

• Application of machine learning and deep learning algorithms in medical image analysis.
• AI-driven approaches for disease diagnosis and prognosis.
• Utilization of AI techniques in healthcare data analytics and personalized medicine.
• Development of AI-based medical devices and systems.
• Ethical considerations and societal impacts of AI adoption in healthcare.
• Explainability in medical deep learning approaches.

Purpose: The purpose of this Special Issue is to provide a platform for researchers, practitioners, and experts in both AI and biomedical engineering to share their insights, experiences, and latest research findings. By doing so, this Special Issue aims to:

• Highlight the current challenges and opportunities in applying AI to biomedical engineering problems.
• Showcase recent developments, innovations, and breakthroughs in the field.
• Foster collaboration and interdisciplinary exchange between researchers in AI and biomedical engineering.
• Stimulate further research and advancements in this rapidly evolving domain.

This Special Issue will supplement existing literature on AI in biomedical engineering in several ways:

• Comprehensive Coverage: By addressing a wide range of topics, this Special Issue will provide a comprehensive overview of the latest advancements and challenges in the field, filling potential gaps in existing literature.
• Cutting-Edge Research: It will feature original research articles, reviews, and case studies that present novel approaches, methodologies, and applications of AI in biomedical engineering, contributing new insights to the existing body of knowledge.
• Interdisciplinary Perspective: As AI in biomedical engineering requires expertise from both AI and biomedical engineering domains, this Special Issue will facilitate interdisciplinary dialogue and collaboration, bridging the gap between these two fields.
• Emerging Trends: By focusing on recent developments and emerging trends, this Special Issue will keep readers abreast of the latest advancements and technological innovations in AI-driven healthcare, supplementing the existing literature with up-to-date information.

Dr. Ioannis Kakkos
Guest Editor

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 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.

• artificial intelligence
• biomedical engineering
• medical image analysis
• disease diagnosis
• personalized medicine
• machine learning
• deep learning
• healthcare data analytics
• medical devices