Evidence map›Paper›PMID 41402882›Full record

ArticleJournal of translational medicine2025

AI-powered epidemic control: Deepseek's role in global health resilience.

Hong Jiang, Meixian Wu, Juan Yu, Ying Xiao, Chengliang Yin

Abstract read
In one paragraph

Article in Journal of translational medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Hong JiangZhuhai People's Hospital, The Affiliated Hospital of Beijing Institute of Technology, Zhuhai Clinical Medical College of Jinan University, Zhuhai, 519000, Guangdong, China.
Meixian WuZhuhai People's Hospital, The Affiliated Hospital of Beijing Institute of Technology, Zhuhai Clinical Medical College of Jinan University, Zhuhai, 519000, Guangdong, China.
Juan YuDepartment of Radiology, Health Science Center, The First Affiliated Hospital of Shenzhen University (Shenzhen Second People's Hospital), Shenzhen, 518035, Guangdong, China.
Ying XiaoFaculty of Medicine, Macau University of Science and Technology, Taipa, 999078, Macau, China. yxiao@must.edu.mo.
Chengliang YinFaculty of Medicine, Macau University of Science and Technology, Taipa, 999078, Macau, China.ORCID 0000-0001-8262-5749

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DeepSeek, an AI-driven platform, revolutionizes epidemic management through early warning systems, trend prediction, treatment optimization, and public consultation. By integrating multi-source real-time data (epidemiological, social media, mobility) with deep learning models (LSTM, Transformers) and explainable decision frameworks,, it enhances public health responsiveness. Challenges include data privacy and model accuracy, but its potential to fortify global health resilience is transformative.

Indexed as

Artificial IntelligenceEpidemicsGlobal HealthDeep LearningHumansSocial MediaArtificial intelligence (AI)Data-Driven Decision-MakingDeep learningEpidemic preventionPublic health

Identifiers

PMID41402882
PMCPMC12706920

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.