Letter to the Editor: Quantifying outcome gains in AI-empowered rehabilitation models

This letter addresses the review by Liu and Xie on AI-empowered rehabilitation models, specifically regarding the integration of real-time assessments and adaptive interventions. While the authors present compelling figures about recovery time reduction and increased adherence in AI models, the basis for these figures remains unclear. The letter requests clarification on the sources and definitions of these metrics, such as recovery time and adherence, and how they relate to algorithm performance and clinical outcomes. A more precise mapping of the quantified claims to specific sources would improve the clarity and applicability of the proposed model for clinical use.

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Publication Details

Journal
SLAS TECHNOLOGY
Published
2026-03-01
DOI
https://doi.org/10.1016/j.slast.2026.100414
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Letter to the Editor: Quantifying outcome gains in AI-empowered rehabilitation models

Lixin Zhang, Yanmei Yin
SLAS TECHNOLOGY
Artificial Intelligence in Healthcare and Education
article

Letter to the Editor: Quantifying outcome gains in AI-empowered rehabilitation models

Lixin Zhang, Yanmei Yin
article en

Abstract

This letter addresses the review by Liu and Xie on AI-empowered rehabilitation models, specifically regarding the integration of real-time assessments and adaptive interventions. While the authors present compelling figures about recovery time reduction and increased adherence in AI models, the basis for these figures remains unclear. The letter requests clarification on the sources and definitions of these metrics, such as recovery time and adherence, and how they relate to algorithm performance and clinical outcomes. A more precise mapping of the quantified claims to specific sources would improve the clarity and applicability of the proposed model for clinical use.

SLAS TECHNOLOGY
China Medical University (CN)
Gender equality
Openalex Percentile: Top 9%
Artificial Intelligence in Healthcare and Education
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