Evidence map›Paper›PMID 37821602›Full record

ArticleEuropean spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society2024

Large language models: Are artificial intelligence-based chatbots a reliable source of patient information for spinal surgery?

Anna Stroop, Tabea Stroop, Samer Zawy Alsofy, Makoto Nakamura, Frank Möllmann, Christoph Greiner, Ralf Stroop

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In one paragraph

Article in 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, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 2 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

27 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Communicating With Children With Cancer: Development of a Chatbot-Based Educational Support Tool.Journal of cancer education : the official journal of the American Association for Cancer Education · 2026
    Article
  5. Article
  6. Spine patient history-taking: a two phase study of a prompt-engineered large language model assistant.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
    Article
  7. Performance of large language models in interpreting evidence-based clinical guidelines for lumbar disc herniation with radiculopathy.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
    Article
  8. An expert-led benchmark using common patient questions: evaluating large language models for adolescent idiopathic scoliosis education.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
    Article
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  10. Review
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  14. Large Language Models in Spine Surgery: A Promising Technology.HSS journal : the musculoskeletal journal of Hospital for Special Surgery · 2025
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Anna StroopFaculty of Health, Department of Medicine, Witten-Herdecke University, Alfred-Herrhausen-Straße 45, 58455, Witten, Germany.
Tabea StroopFaculty of Health, Department of Medicine, Witten-Herdecke University, Alfred-Herrhausen-Straße 45, 58455, Witten, Germany.
Samer Zawy AlsofyFaculty of Health, Department of Medicine, Witten-Herdecke University, Alfred-Herrhausen-Straße 45, 58455, Witten, Germany.
Makoto NakamuraDepartment of Neurosurgery, Academic Hospital Köln-Merheim, Witten-Herdecke University, Cologne, Germany.
Frank MöllmannDepartment for Neuro- and Spine Surgery, Niels Stensen Neuro Center, Osnabrück, Germany.
Christoph GreinerDepartment for Neuro- and Spine Surgery, Niels Stensen Neuro Center, Osnabrück, Germany.
Ralf StroopFaculty of Health, Department of Medicine, Witten-Herdecke University, Alfred-Herrhausen-Straße 45, 58455, Witten, Germany. ralf.stroop@uni-wh.de.ORCID http://orcid.org/0000-0001-8795-6790

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeLarge language models (LLM) have recently attracted attention because of their enormous performance. Based on artificial intelligence, LLM enable dialogic communication using quasi-natural language that approximates the quality of human communication. Thus, LLM could play an important role for patients to become informed. To evaluate the validity of an LLM in providing medical information, we used one of the first high-performance LLM (ChatGPT) on the clinical example of acute lumbar disc herniation (LDH).

methodsTwenty-four spinal surgeons experienced in LDH surgery directed questions to ChatGPT about the clinical picture of LDH from a patient's perspective. They evaluated the quality of ChatGPT responses and its potential use in medical communication. The responses were compared with the information content of a standard informed consent form.

resultsChatGPT provided good results in terms of comprehensibility, specificity, and satisfaction of responses and in terms of medical accuracy and completeness. ChatGPT was not able to provide all the information that was provided in the informed consent form, but did communicate information that was not listed there. In some cases, albeit minor, ChatGPT made medically inaccurate claims, such as listing kyphoplasty and vertebroplasty as surgical options for LDH.

conclusionWith the incipient use of artificial intelligence in communication, LLM will certainly become increasingly important to patients. Even if LLM are unlikely to play a role in clinical communication between physicians and patients at the moment, the opportunities-but also the risks-of this novel technology should be alertly monitored.

Indexed as

Artificial IntelligenceIntervertebral Disc DisplacementCommunicationHumansPatient Education as TopicChatGPTLarge language modelPatient informationSpinal surgery

Identifiers

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.