Evidence map›Paper›PMID 37097528›Full record

ArticleAnnals of biomedical engineering2023

Artificial Intelligence in Sports Medicine: Could GPT-4 Make Human Doctors Obsolete?

Kunming Cheng, Qiang Guo, Yongbin He, Yanqiu Lu, Ruijie Xie, Cheng Li, Haiyang Wu

Abstract readLetter
PubMed Publisher
In one paragraph

Article in Annals of biomedical engineering, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 10% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 57 citations in OpenAlex.

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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

7 authors at 6 institutions in 3 countries.

Kunming Cheng *Department of Intensive Care Unit, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Qiang Guo *Department of Orthopedics, Baodi Clinical College of Tianjin Medical University, Tianjin, China.
Yongbin He *School of Sport Medicine and Rehabilitation, Beijing Sport University, Beijing, China.
Yanqiu LuDepartment of Intensive Care Unit, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Ruijie XieDepartment of Microsurgery, The Affiliated Nanhua Hospital, Hengyang Medical School, University of South China, Hengyang, China. orthoxrj@163.com.
Cheng LiDepartment of Orthopaedic Surgery, Beijing Jishuitan Hospital, Fourth Clinical College of Peking University, Beijing, China. lichengcharite@gmail.com.
Haiyang WuDepartment of Graduate School, Tianjin Medical University, Tianjin, China. wuhaiyang2021@tmu.edu.cn.
Second Affiliated Hospital of Zhengzhou University · CNBeijing Sport University · CNDuke University · USGerman Cancer Research Center · DEPeking University · CNTianjin Medical University · CN

Funding

China Postdoctoral Science Foundation 2022M720385
6 · The paper itself

Abstract

Sports medicine, an essential branch of orthopedics, focuses on preserving, restoring, improving, and rebuilding the function of the human motor system. As a thriving interdisciplinary field, sports medicine attracts not only the interest of the orthopedic community, but also artificial intelligence (AI). In this study, our team summarized the potential applications of GPT-4 in sports medicine including diagnostic imaging, exercise prescription, medical supervision, surgery treatment, sports nutrition, and science research. In our opinion, it is impossible that GPT-4 could make sports physicians obsolete. Instead, it could become an indispensable scientific assistant for sport doctors in future.

Indexed as

Orthopedic ProceduresPhysiciansSportsSports MedicineArtificial IntelligenceHumansArthroplastyArtificial intelligenceAssistantChatbotGPT-4

Identifiers

PMID37097528
OpenAlexW4366983955

What OpenQuestion holds

Textmetadata
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.