Clinical Report: Applications of Embodied Intelligence in Healthcare Settings
Overview
This scoping review systematically classifies embodied intelligence in healthcare into five forms and three functional domains, synthesizing evidence from 22 randomized controlled trials and 12 mixed methods studies. The findings highlight the effectiveness and user acceptability of these systems in health management, education, and mental health promotion.
Background
As global populations age and chronic diseases rise, healthcare systems face significant challenges in meeting diverse patient needs. Embodied intelligence, a branch of artificial intelligence, integrates computational intelligence with physical or virtual entities, enabling direct interaction with users. This review aims to provide a comprehensive classification and synthesis of existing research on embodied intelligence applications in healthcare.
Data Highlights
No specific numerical data or trial results were provided in the source material.
Key Findings
Embodied intelligence is classified into five forms and three core functional domains.
Evidence was synthesized from 22 randomized controlled trials and 12 mixed methods studies.
Reported effectiveness includes applications in health management, education, and mental health promotion.
User acceptability patterns were identified across various healthcare settings.
Embodied intelligence emphasizes interactive engagement, making it relevant for chronic disease management and nursing care.
Clinical Implications
The findings provide a foundational evidence base for the evaluation and implementation of embodied intelligence in healthcare. This has particular relevance for nursing practice, where interactive and adaptive behaviors can enhance patient engagement.
Conclusion
This review highlights the potential of embodied intelligence in transforming healthcare interactions and supports the need for standardized evaluation in future implementations.
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