Evidence map›Paper›PMID 37705958›Full record

ArticleiScience2023

A descriptive study based on the comparison of ChatGPT and evidence-based neurosurgeons.

Jiayu Liu, Jiqi Zheng, Xintian Cai, Dongdong Wu, Chengliang Yin

Abstract read
In one paragraph

Article in iScience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

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

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  15. Based on Medicine, The Now and Future of Large Language Models.Cellular and molecular bioengineering · 2024
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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

5 authors.

Jiayu LiuDepartment of Neurosurgery, the First Medical Centre, Chinese PLA General Hospital, Beijing 100853, China.
Jiqi ZhengSchool of Health Humanities, Peking University, Beijing 100191, China.
Xintian CaiDepartment of Graduate School, Xinjiang Medical University, Urumqi 830001, China.
Dongdong WuDepartment of Information, Daping Hospital, Army Medical University, Chongqing 400042, China.
Chengliang YinFaculty of Medicine, Macau University of Science and Technology, Macau 999078, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

ChatGPT is an artificial intelligence product developed by OpenAI. This study aims to investigate whether ChatGPT can respond in accordance with evidence-based medicine in neurosurgery. We generated 50 neurosurgical questions covering neurosurgical diseases. Each question was posed three times to GPT-3.5 and GPT-4.0. We also recruited three neurosurgeons with high, middle, and low seniority to respond to questions. The results were analyzed regarding ChatGPT's overall performance score, mean scores by the items' specialty classification, and question type. In conclusion, GPT-3.5's ability to respond in accordance with evidence-based medicine was comparable to that of neurosurgeons with low seniority, and GPT-4.0's ability was comparable to that of neurosurgeons with high seniority. Although ChatGPT is yet to be comparable to a neurosurgeon with high seniority, future upgrades could enhance its performance and abilities.

Indexed as

Artificial intelligence applicationsHealth informaticsNeurologyNeurosurgery

Identifiers

PMID37705958
PMCPMC10495632

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.