Evidence map›Paper›PMID 40416223›Full record

ArticleCureus2025

Performance of GPT-4o and DeepSeek-R1 in the Polish Infectious Diseases Specialty Exam.

Zuzanna Błecha, Dawid Jasiński, Aleksander Jaworski, Ada Latkowska, Wojciech Jaworski, Oliwia Sysło, Nikola Rubik, Izabela Jastrzebska, Konrad Haraziński, Weronika Goliat and 4 more

Abstract read
In one paragraph

Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

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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

14 authors.

Zuzanna BłechaFaculty of Medicine, Medical University of Silesia in Katowice, Katowice, POL.
Dawid JasińskiDepartment of Paediatric Cardiology, Saint John Paul II Upper Silesian Child Health Centre, Public Clinical Hospital no.6 of the Medical University of Silesia in Katowice, Katowice, POL.
Aleksander JaworskiPlastic Surgery, Specialist Medical Center, Polanica-Zdrój, POL.
Ada LatkowskaFaculty of Medicine, Wroclaw Medical University, Wrocław, POL.
Wojciech JaworskiDepartment of Children's Developmental Defects Surgery and Traumatology SUM (Medical University of Silesia) Scientific Club, Medical University of Silesia in Katowice, Katowice, POL.
Oliwia SysłoFaculty of Medicine, Academy of Silesia, Katowice, POL.
Nikola RubikMedicine, Academy of Silesia, Katowice, POL.
Izabela JastrzebskaInternal Medicine, Międzyleski Specialized Hospital in Warsaw, Warsaw, POL.
Konrad HarazińskiMedicine, Medical University of Silesia in Katowice, Katowice, POL.
Weronika GoliatMedicine, Provincial Hospital in Poznań, Poznań, POL.
Maksym GmurMedicine, Provincial Hospital in Poznań, Poznań, POL.
Michal GajewskiMedicine, Provincial Hospital in Poznań, Poznań, POL.
Barbara SławińskaMedicine, Medical University of Silesia in Katowice, Katowice, POL.
Nicole MaryniakMedicine, Zagłębiowski Oncology Center in Dąbrowa Górnicza, Dąbrowa Górnicza, POL.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background The past few years have been a time of rapid development in artificial intelligence (AI) and its implementation across numerous fields. This study aimed to compare the performance of GPT-4o (OpenAI, San Francisco, CA, USA) and DeepSeek-R1 (DeepSeek AI, Zhejiang, China) on the Polish specialty examination in infectious diseases. Materials and methods The study was conducted from April 1 to April 4, 2025, using the Autumn 2024 Polish specialty examination in infectious diseases. The examination comprised 120 questions, each presenting five answer options, with only one correct choice. The Center for Medical Education (CEM) in Łódź, Poland decided to withdraw one question due to the absence of a definitive correct answer and inconsistency with up-to-date clinical guidelines. Furthermore, the questions were classified as either 'clinical cases' or 'other' to enable a more in-depth evaluation of the potential of artificial intelligence in real-world clinical practice. The accuracy of the responses was verified using the official answer key approved by the CEM. To assess the accuracy and confidence level of the responses provided by GPT-4o and DeepSeek-R1, statistical methods were employed, including Pearson's χ

Indexed as

#artificial intelligence#chatgptdeepseek#final medical examinationinfectious disease medicine#machine learning#medical professionals#medical students

Identifiers

PMID40416223
PMCPMC12102586

What OpenQuestion holds

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LicenceCC BY
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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.