70/100

Moderate evidence

Trace: a gain and a problemPublished recordHealthThe Trace

The Role of Artificial Intelligence in Treatment Planning in Physical and Rehabilitation Medicine: A Systematic Review

Truvace record
TRV-2026-2436raw data (JSON)
Version
v1Published
First published
Evidence type
Systematic review or meta-analysis
Sources
1 sourcePeer-reviewed
sha256
110ab5a32caa…check it

Objective Individualized rehabilitation plans are crucial for maximizing clinical outcomes. Generative artificial intelligence (AI), particularly large language models (LLMs), which can generate new content based on large knowledge bases, could improve personalized rehabilitation. This systematic review aimed to assess accuracy and application of LLMs in rehabilitation. Design A systematic search was conducted in PubMed, Web of Science, and Scopus until February 2026. The PICO included LLMs (P), their use in reh…

58Gain side

How the two sides scoreClose call

59Problem side

The gain

A systematic review of nine studies found AI chatbot rehabilitation plans reached 98.75% concordance with expert opinion after an expert advisory board reviewed the AI-generated statements.

The problem

The same review of nine studies found the included studies reported hallucinations from AI chatbots, so their rehabilitation plans needed clinician supervision.

A fixed formula sets both scores from the evidence and its sources. Reader votes don’t move them.

What the scores mean

G is the gain side, out of 100. It goes up when the gain is specific, when it measurably helped people and when the sources behind it are strong.

P is the problem side, out of 100. It goes up when the problem is specific, when it measurably hurt people and when the sources behind it are strong.

What this doesn’t fix

The review included only nine studies, and the authors say high-quality studies are still needed to validate real-world effectiveness and define implementation strategies.

Sources

1 on file
  1. Peer-reviewed2026-11-02

Cite this record

v1

Truvace Impact Record TRV-2026-2436, v1: “The Role of Artificial Intelligence in Treatment Planning in Physical and Rehabilitation Medicine: A Systematic Review.” Truvace, 2026-11-09. /record/TRV-2026-2436 (accessed on the day you copy it). sha256 110ab5a32caa49fb…

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  1. Publishedv1110ab5a32caa…

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