The Future of Healthcare: Biomedical Technology and Integrated Artificial Intelligence 2nd Edition

Dear Colleagues,

Biomedical technology, which is fundamental today, incorporates various disciplines such as signal, image, and data processing, greatly benefiting healthcare systems. Artificial intelligence plays a crucial role in allowing the creation of embedded systems that monitor and adjust patient treatment in real-time, ensuring more personalized and effective care. Additionally, this integration facilitates the development of automatic diagnostic techniques, such as advanced medical image analysis and biometric data interpretation, which have transformed the diagnosis and treatment of diseases, thus improving patients’ quality of life. This advance is essential to respond to the demands of a growing population with expectations of high-quality medical care.

This Special Issue aims to showcase innovators who are using artificial intelligence as a main topic for solving problems in biomedical technology through the development of technologies with integrated systems for health and quality of life.

Artificial intelligence techniques focus on the following biomedical engineering topics:

• Machine learning applied to medicine;
• Deep learning for disease diagnosis;
• Deep learning for biomaterials;
• Optimization of autonomous systems through artificial intelligence in healthcare;
• Metaheuristic algorithms for the design of prostheses and medical devices;
• Metaheuristic algorithms for 3D bioprinting;
• Tissue engineering optimization algorithms;
• Fuzzy techniques for the analysis of biomedical signals;
• Mixed techniques for the development of intelligent systems in medical care;
• Image processing techniques;
• Generative models for the synthesis of medical data;
• AI-based clinical decision algorithms for prediction;
• Natural language analysis algorithms for the extraction of clinical information;
• Reinforcement learning for the optimization of medical treatments.

Examples of applications with integrated artificial intelligence:

• Health surveillance and control;
• Diagnosis and treatment of diseases;
• Advanced medical imaging;
• Prosthetics and intelligent medical devices;
• Personalized medicine;
• Digital health;
• Predictive analysis in public health;
• Improving hospital efficiency;
• AI-assisted rehabilitation;
• Medical education and simulation;
• Development and customization of medicines;
• Development of scaffolds for tissue regeneration adjusting by AI;
• Analysis of massive medical data.

Integrating artificial intelligence into biomedical technology has opened a world of possibilities to improve people's quality of life.

Related SI:

The Future of Healthcare: Biomedical Technology and Integrated Artificial Intelligence

https://www.mdpi.com/journal/technologies/special_issues/H45GFE5110

Prof. Dr. Juvenal Rodriguez-Resendiz
Dr. Gerardo I. Pérez-Soto
Dr. Karla Anhel Camarillo-Gómez
Dr. Saul Tovar-Arriaga
Guest Editors

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• healthcare
• biomedical technology
• machine learning
• deep learning
• artificial intelligence
• image processing technique