Evidence map›Paper›PMID 41311245›Full record

ArticleMedical education online2025

Evaluation of AI models for radiology exam preparation: DeepSeek vs. ChatGPT-3.5.

Na Hu, Yunpeng Luo, Pinggui Lei

Abstract readComparative Study
In one paragraph

Article in Medical education online, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Na HuDepartment of Radiology, The Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou Province, People's Republic of China.
Yunpeng LuoDepartment of Anesthesiology, Guizhou Provincial People's Hospital, Guiyang, Guizhou Province, People's Republic of China.
Pinggui LeiDepartment of Radiology, The Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou Province, People's Republic of China.ORCID 0000-0001-7610-0292

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rapid advancement of artificial intelligence (AI) chatbots has generated significant interest regarding their potential applications within medical education. This study sought to assess the performance of the open-source large language model DeepSeek-V3 in answering radiology board-style questions and to compare its accuracy with that of ChatGPT-3.5.A total of 161 questions (comprising 207 items) were randomly selected from the

Indexed as

Artificial IntelligenceEducational MeasurementRadiologyGenerative Artificial IntelligenceHumansArtificial intelligenceChatGPTDeepSeekmedical imaging educationradiology examination

Identifiers

PMID41311245
PMCPMC12667340

What OpenQuestion holds

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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.