Evidence map›Paper›PMID 40959772›Full record

ArticleFrontiers in artificial intelligence2025

Accuracy of AI chatbots in answering frequently asked questions on cervical cancer.

Jielin Fan, Wenhong Xiao, Zhipeng Yan, Qiang Ouyang

Abstract read
In one paragraph

Article in Frontiers in artificial intelligence, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

4 authors.

Jielin FanDepartment of Gynecologic Oncology, Hunan Cancer Hospital, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China.
Wenhong XiaoDepartment of Gynecology, The Second Zhuzhou Hospital, Zhuzhou, China.
Zhipeng YanDepartment of Gynecologic Oncology, Hunan Cancer Hospital, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China.
Qiang OuyangDepartment of Gynecologic Oncology, Hunan Cancer Hospital, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To compare the accuracy of Deepseek and ChatGPT in answering frequently asked questions (FAQs) about cervical cancer. Methods: To compile a list of FAQs concerning cervical cancer, a comprehensive search was conducted on social media and community platforms. The answer keys for all the selected questions were created on the basis of the guidelines of the National Comprehensive Cancer Network (NCCN), the International Federation of Gynecology and Obstetrics (FIGO), and the World Health Organization (WHO) for cervical cancer. The answers given by Deepseek-R1 and ChatGPT O1 were scored according to the Global Quality Score (GQS). Results: A total of 74 FAQs covered a diverse range of topics related to cervical cancer, including diagnosis ( Conclusion: Both DeepSeek and ChatGPT demonstrated accurate and satisfactory responses to FAQs about cervical cancer when evaluated according to the GQS. However, in regard to treatment issues, a cautious attitude should be maintained. Compared to ChatGPT, DeepSeek stands out for its free availability, which makes it more accessible in resource-limited scenarios to the public.

Indexed as

artificial intelligencecervical cancerChatGPTDeepSeekfrequently asked questions

Identifiers

PMID40959772
PMCPMC12433935

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.