Evidence map›Paper›PMID 39963119›Full record

SynthesisFrontiers in digital health2025

Comparative analysis of ChatGPT and Gemini (Bard) in medical inquiry: a scoping review.

Fattah H Fattah, Abdulwahid M Salih, Ameer M Salih, Saywan K Asaad, Abdullah K Ghafour, Rawa Bapir, Berun A Abdalla, Snur Othman, Sasan M Ahmed, Sabah Jalal Hasan and 2 more

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in digital health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Assessing the Credibility of ChatGPT on Temporomandibular Disorders.European journal of dental education : official journal of the Association for Dental Education in Europe · 2026
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  3. Patient and physician perspectives on large language model generated responses about brain aneurysm.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2026
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  13. AI-Powered Clinical Decision Support in Dentistry: Comparative Evaluation of Large Language Models for Oral Medicine and Periodontal Diagnosis.Medical science monitor : international medical journal of experimental and clinical research · 2026
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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

12 authors.

Fattah H FattahScientific Affairs Department, Smart Health Tower, Sulaymaniyah, Iraq.
Abdulwahid M SalihScientific Affairs Department, Smart Health Tower, Sulaymaniyah, Iraq.
Ameer M SalihScientific Affairs Department, Smart Health Tower, Sulaymaniyah, Iraq.
Saywan K AsaadScientific Affairs Department, Smart Health Tower, Sulaymaniyah, Iraq.
Abdullah K GhafourScientific Affairs Department, Smart Health Tower, Sulaymaniyah, Iraq.
Rawa BapirScientific Affairs Department, Smart Health Tower, Sulaymaniyah, Iraq.
Berun A AbdallaScientific Affairs Department, Smart Health Tower, Sulaymaniyah, Iraq.
Snur OthmanKscien Organization for Scientific Research (Middle East Office), Sulaymaniyah, Iraq.
Sasan M AhmedScientific Affairs Department, Smart Health Tower, Sulaymaniyah, Iraq.
Sabah Jalal HasanScientific Affairs Department, Smart Health Tower, Sulaymaniyah, Iraq.
Yousif M MahmoodScientific Affairs Department, Smart Health Tower, Sulaymaniyah, Iraq.
Fahmi H KakamadScientific Affairs Department, Smart Health Tower, Sulaymaniyah, Iraq.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Artificial intelligence and machine learning are popular interconnected technologies. AI chatbots like ChatGPT and Gemini show considerable promise in medical inquiries. This scoping review aims to assess the accuracy and response length (in characters) of ChatGPT and Gemini in medical applications. Methods: The eligible databases were searched to find studies published in English from January 1 to October 20, 2023. The inclusion criteria consisted of studies that focused on using AI in medicine and assessed outcomes based on the accuracy and character count (length) of ChatGPT and Gemini. Data collected from the studies included the first author's name, the country where the study was conducted, the type of study design, publication year, sample size, medical speciality, and the accuracy and response length. Results: The initial search identified 64 papers, with 11 meeting the inclusion criteria, involving 1,177 samples. ChatGPT showed higher accuracy in radiology (87.43% vs. Gemini's 71%) and shorter responses (907 vs. 1,428 characters). Similar trends were noted in other specialties. However, Gemini outperformed ChatGPT in emergency scenarios (87% vs. 77%) and in renal diets with low potassium and high phosphorus (79% vs. 60% and 100% vs. 77%). Statistical analysis confirms that ChatGPT has greater accuracy and shorter responses than Gemini in medical studies, with a Conclusion: This Scoping review suggests that ChatGPT may demonstrate higher accuracy and provide shorter responses than Gemini in medical studies.

Indexed as

ChatGPTcomparisonGoogle Bardmadical AImedical inquiries

Identifiers

PMID39963119
PMCPMC11830737

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.