Embodied Intelligence Applications in Health Care Populations: Scoping Review - Summary - MDSpire

Embodied Intelligence Applications in Health Care Populations: Scoping Review

  • By

  • Wan Shu

  • Ying Zhou

  • Erhong Sun

  • Lei Deng

  • Xuchun Ye

  • June 12, 2026

  • 0 min

Share

Objective:

To synthesize applications of embodied intelligence in health care by mapping embodiment forms, functional domains, application settings, and evidence of acceptability and effectiveness.

Approach:
    Key Findings:
    • Embodied intelligence can support rehabilitation and provide companionship based on synthesized evidence.
    • There is a lack of comprehensive mapping of where, how, and for whom these systems have been implemented according to the review.
    • Existing studies are fragmented regarding technology type, application domain, or outcome focus as noted in the review.
    Interpretation:

    Limitations:
    • Existing studies remain fragmented and lack integrative evidence as highlighted in the review.
    • Limited understanding of the effectiveness and acceptability of different forms of embodied intelligence based on the review's findings.
    Conclusion:

    This scoping review aims to clarify the current landscape of embodied intelligence in health care.

Original Source(s)

Embodied Intelligence Applications in Health Care Populations: Scoping Review

  • by Wan Shu, Ying Zhou, Erhong Sun, Lei Deng, Xuchun Ye

  • June 12, 2026

Related Content

No, Keto Doesn't Cure Schizophrenia

The viral claim was wrong. The damage it did was real.

Retinal Features May Reveal Depression

In a UK Biobank cohort, thinner ganglion cell-inner plexiform layer and macular measurements were associated with incident depression over more than a decade of follow-up, while no independent association emerged for anxiety disorders.

The Cannabis Talk That Doesn't Happen

Clinicians screened just one in three older patients for drug use, and discussed cannabis with fewer still—leaving women and minoritized groups out most.