Advances in Intelligent Health Management and Rehabilitation Technology: Integrating Large Language Models and AI Solutions

Dear Colleagues,

The emergence of intelligent health management and rehabilitation technologies represents a dynamic integration of artificial intelligence (AI), machine learning (ML), and contemporary healthcare practices. This interdisciplinary field aims to enhance traditional rehabilitation, enable precise health monitoring, and promote proactive management of chronic diseases. With the evolution of large language models (LLMs), such as GPT and similar foundational models, the potential for intelligent, personalized, and explainable health solutions is significantly expanded.

Building upon the success of our previous Special Issue, "Intelligent Health Management, Nursing and Rehabilitation Technology", which concluded on 30 April 2025, and garnered significant attention with over 10,700 views globally, we are pleased to announce the launch of Volume II. The initial Special Issue attracted high-quality submissions from researchers worldwide, reflecting the growing interest and advancements in the integration of AI and ML in healthcare and rehabilitation.

In continuation, we aim to delve deeper into the transformative potential of medical LLMs in intelligent health management and rehabilitation. The fusion of LLMs with existing AI and ML technologies promises to revolutionize patient care by enabling real-time, personal decision-making.

The scope of this Special Issue includes, but is not limited to, the following themes:

• Proactive health systems: designing and optimizing systems for real-time health monitoring and proactive management at individual and population levels.
• Predictive models: developing predictive models to identify early health risks, inform treatment pathways, and improve chronic disease management.
• Medical artificial intelligence: leveraging AI and ML for clinical decision support, diagnostic assistance, and optimization of treatment protocols.
• Smart healthcare: implementing smart systems that integrate AI and data analytics to enhance rehabilitation outcomes and improve quality of life.
• Personalized rehabilitation strategies: utilizing machine learning and data-driven approaches to develop individualized rehabilitation plans responsive to patient progress.
• Remote monitoring and intervention: exploring technologies that support remote patient engagement, real-time health monitoring, and timely interventions.
• Clinical knowledge representation and decision support: employing LLMs for summarizing clinical information, supporting multidisciplinary decision-making, and generating adaptive care plans.
• Intelligent agents in patient interaction: utilizing LLMs to develop intelligent agents that provide empathetic, interactive support to patients throughout rehabilitation and chronic disease management.
• Intelligent documentation and workflow automation: applying LLMs to automate medical documentation, improve care coordination, and reduce provider workload.

By integrating LLMs with existing intelligent health systems, this Special Issue aims to uncover the potential of explainable, adaptive, and interactive healthcare solutions. These technologies can empower patients and clinicians alike with real-time insights, efficient workflows, and personalized care.

We invite original research articles, review papers, and visionary perspectives that contribute to the advancement of intelligent rehabilitation and health management, with a special focus on the transformative role of large language models.

Dr. Ning Deng
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 2700 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.

• intelligent rehabilitation technology
• health monitoring systems
• machine learning in healthcare
• intelligent nursing technology
• proactive health management
• large language models in healthcare
• AI-assisted clinical decision-making
• personalized rehabilitation strategies

• Intelligent Health Management, Nursing and Rehabilitation Technology in Bioengineering (5 articles)