Evidence map›Paper›PMID 38038796›Full record

ReviewJournal of experimental orthopaedics2023

ChatGPT and large language models in orthopedics: from education and surgery to research.

Srijan Chatterjee, Manojit Bhattacharya, Soumen Pal, Sang-Soo Lee, Chiranjib Chakraborty

Abstract readReview
In one paragraph

Review in Journal of experimental orthopaedics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

44 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Large language models in spine care and research.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026
    Review
  5. Article
  6. Article
  7. Article
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  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
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  19. Large Language Models in Spine Surgery: A Promising Technology.HSS journal : the musculoskeletal journal of Hospital for Special Surgery · 2025
    Review
  20. Article
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

5 authors.

Srijan Chatterjee *Institute for Skeletal Aging & Orthopaedic Surgery, Hallym University-Chuncheon Sacred Heart Hospital, Chuncheon-Si, 24252, Gangwon-Do, Republic of Korea.ORCID http://orcid.org/0000-0002-8282-8324
Manojit Bhattacharya *Department of Zoology, Fakir Mohan University, Vyasa Vihar, Balasore, 756020, Odisha, India.ORCID http://orcid.org/0000-0001-9669-1835
Soumen PalSchool of Mechanical Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India.ORCID http://orcid.org/0000-0001-9508-2712
Sang-Soo LeeInstitute for Skeletal Aging & Orthopaedic Surgery, Hallym University-Chuncheon Sacred Heart Hospital, Chuncheon-Si, 24252, Gangwon-Do, Republic of Korea. 123sslee@gmail.com.ORCID http://orcid.org/0000-0001-5074-7581
Chiranjib Chakraborty *Department of Biotechnology, School of Life Science and Biotechnology, Adamas University, Kolkata, West Bengal, 700126, India. drchiranjib@yahoo.com.ORCID http://orcid.org/0000-0002-3958-239X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

ChatGPT has quickly popularized since its release in November 2022. Currently, large language models (LLMs) and ChatGPT have been applied in various domains of medical science, including in cardiology, nephrology, orthopedics, ophthalmology, gastroenterology, and radiology. Researchers are exploring the potential of LLMs and ChatGPT for clinicians and surgeons in every domain. This study discusses how ChatGPT can help orthopedic clinicians and surgeons perform various medical tasks. LLMs and ChatGPT can help the patient community by providing suggestions and diagnostic guidelines. In this study, the use of LLMs and ChatGPT to enhance and expand the field of orthopedics, including orthopedic education, surgery, and research, is explored. Present LLMs have several shortcomings, which are discussed herein. However, next-generation and future domain-specific LLMs are expected to be more potent and transform patients' quality of life.

Indexed as

ChatGPTConcernLarge language modelsOrthopedics

Identifiers

PMID38038796
PMCPMC10692045

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.