Evidence map›Paper›PMID 37500980›Full record

ArticleAnnals of biomedical engineering2024

AI-ChatGPT/GPT-4: An Booster for the Development of Physical Medicine and Rehabilitation in the New Era!

Shengxin Peng, Deqiang Wang, Yuanhao Liang, Wenshan Xiao, Yixiang Zhang, Lei Liu

Open access · hybridAbstract readLetter
In one paragraph

Article in Annals of biomedical engineering, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.8field-weighted citation impact, top 21% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
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  4. Enhancing patient education in breast surgery: artificial intelligence-powered guidance for mastopexy, augmentation, reduction, and reconstruction.Translational breast cancer research : a journal focusing on translational research in breast cancer · 2025
    Article
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  8. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 4 institutions in 1 country.

Shengxin PengSchool of Rehabilitation Medicine of Binzhou Medical University, Yantai, China.
Deqiang WangSchool of Rehabilitation Medicine of Binzhou Medical University, Yantai, China.
Yuanhao LiangWeifang Medical University, Weifang, China.
Wenshan XiaoShandong First Medical University, Jinan, China.
Yixiang ZhangWeifang Medical University, Weifang, China.
Lei LiuDepartment of Painology, The First Affiliated Hospital of Shandong First Medical University (Shandong Provincial Qianfoshan Hospital), Jinan, 250014, China. fort0825@sina.com.ORCID http://orcid.org/0000-0002-6915-1929
Binzhou Medical University · CNWeifang Medical University · CNShandong First Medical University · CNShandong Provincial QianFoShan Hospital · CN

Funding

2022 Shandong Province Key R&D Program 2022cxgx020510
6 · The paper itself

Abstract

Artificial intelligence (AI) has been driving the continuous development of the Physical Medicine and Rehabilitation (PM&R) fields. The latest release of ChatGPT/GPT-4 has shown us that AI can potentially transform the healthcare industry. In this study, we propose various ways in which ChatGPT/GPT-4 can display its talents in the field of PM&R in future. ChatGPT/GPT-4 is an essential tool for Physiatrists in the new era.

Indexed as

Artificial IntelligencePhysical and Rehabilitation MedicinePhysical ExaminationArtificial intelligenceChatGPTGPT-4Physical medicine and rehabilitation

Identifiers

PMID37500980
PMCPMC10859338
OpenAlexW4385302680

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.