Evidence map›Paper›PMID 41065886›Full record

ArticleMycopathologia2025

Artificial Intelligence Driven Diagnosis and Prognosis Comparison of ChatGPT-4o and DeepSeek-R1 in HIV Negative Talaromycosis.

Haiyang He, Liuyang Cai, Yi Liu, Yusong Lin, Xingrui Zhu, Dongzhen Liu, Wanqing Liao, Xiaochun Xue, Weihua Pan

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Mycopathologia, 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

9 authors.

Haiyang HeShanghai Key Laboratory of Medical Mycology, Department of Dermatology, The Center for Fungal Infectious Diseases Basic Research and Innovation of Medicine and Pharmacy, Ministry of Education, Shanghai Changzheng Hospital, Naval Medical University, Shanghai, 200003, China.
Liuyang CaiShanghai Key Laboratory of Medical Mycology, Department of Dermatology, The Center for Fungal Infectious Diseases Basic Research and Innovation of Medicine and Pharmacy, Ministry of Education, Shanghai Changzheng Hospital, Naval Medical University, Shanghai, 200003, China.
Yi LiuShanghai Key Laboratory of Medical Mycology, Department of Dermatology, The Center for Fungal Infectious Diseases Basic Research and Innovation of Medicine and Pharmacy, Ministry of Education, Shanghai Changzheng Hospital, Naval Medical University, Shanghai, 200003, China.
Yusong LinShanghai Key Laboratory of Medical Mycology, Department of Dermatology, The Center for Fungal Infectious Diseases Basic Research and Innovation of Medicine and Pharmacy, Ministry of Education, Shanghai Changzheng Hospital, Naval Medical University, Shanghai, 200003, China.
Xingrui ZhuShanghai Key Laboratory of Medical Mycology, Department of Dermatology, The Center for Fungal Infectious Diseases Basic Research and Innovation of Medicine and Pharmacy, Ministry of Education, Shanghai Changzheng Hospital, Naval Medical University, Shanghai, 200003, China.
Dongzhen LiuShanghai Key Laboratory of Medical Mycology, Department of Dermatology, The Center for Fungal Infectious Diseases Basic Research and Innovation of Medicine and Pharmacy, Ministry of Education, Shanghai Changzheng Hospital, Naval Medical University, Shanghai, 200003, China.
Wanqing LiaoShanghai Key Laboratory of Medical Mycology, Department of Dermatology, The Center for Fungal Infectious Diseases Basic Research and Innovation of Medicine and Pharmacy, Ministry of Education, Shanghai Changzheng Hospital, Naval Medical University, Shanghai, 200003, China. liaowanqing@sohu.com.
Xiaochun XueDepartment of Pharmacy, 905Th Hospital of People's Liberation Army Navy, Shanghai, 200052, China. xxc2021@126.com.
Weihua PanShanghai Key Laboratory of Medical Mycology, Department of Dermatology, The Center for Fungal Infectious Diseases Basic Research and Innovation of Medicine and Pharmacy, Ministry of Education, Shanghai Changzheng Hospital, Naval Medical University, Shanghai, 200003, China. panweihua9@sina.com.ORCID http://orcid.org/0000-0001-7381-5188

Funding

the National Key Research and Development Program of China 2024DZXYYXK-104
6 · The paper itself

Abstract

This study evaluates and compares the diagnostic and prognostic capabilities of ChatGPT-4o and DeepSeek-R1 in 56 HIV-negative talaromycosis cases. Clinical case fragments were de-identified and submitted to both models, with diagnostic accuracy and prognostic prediction rates statistically analyzed using chi-square tests, Fisher's exact tests, and logistic regression. Results showed DeepSeek-R1 achieved significantly higher diagnostic accuracy (66.1%) than ChatGPT-4o (3.6%) (χ

Indexed as

Artificial IntelligenceAdolescentAdultAgedAsia, SoutheasternChinaFemaleGenerative Artificial IntelligenceHumansMaleMiddle AgedMycosesPrognosisSensitivity and SpecificityYoung AdultChatGPTDeepSeekHIV-negativeTalaromycosis

Identifiers

PMID41065886

What OpenQuestion holds

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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.