Artificial Intelligence in Medicine and Rehabilitation: Technologies and Applications: 2nd Edition
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Biomedical Engineering".
Deadline for manuscript submissions: 20 July 2026 | Viewed by 628
Special Issue Editor
Interests: biomedical engineering; human system interaction; medical devices; artificial intelligence; machine learning; signal processing; computer-aided diagnosis
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Artificial intelligence (AI) has emerged as a transformative force in the fields of medicine and rehabilitation, offering unprecedented opportunities to enhance diagnosis, treatment, and patient care. This Special Issue aims to explore the latest advancements and applications of AI in various domains within medicine and rehabilitation.
In recent years, the rapid development of medical technologies has facilitated the collection of vast amounts of data, offering unprecedented opportunities for researchers and clinicians to leverage artificial intelligence (AI) algorithms. These advancements have ushered in a new era of medical care, where AI-driven image and signal processing techniques are revolutionizing diagnosis, treatment, and patient management. Moreover, the proliferation of wearable devices, intelligent systems, and personalized robotics has further expanded the scope of AI applications in healthcare.
This Special Issue seeks to explore the synergistic intersection of AI, medical technologies, and rehabilitation, aiming to showcase the latest developments and innovations in these interconnected domains. Researchers, clinicians, and experts are welcome to contribute original research articles, reviews, and case studies that demonstrate the impact of AI in medicine and rehabilitation.
Dr. Tomasz Kocejko
Guest Editor
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Keywords
- artificial intelligence
- machine learning
- deep learning
- computer vision
- image processing
- image analysis
- signal processing
- signal analysis
- computer-aided diagnosis
- human–computer interface and interaction
- human–machine interface and interaction
- personalized robotics
- translational medicine
- intelligent systems
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