Evidence map›Paper›PMID 39805596›Full record

ArticleJournal of epidemiology2025

What Epidemiologists Can Do in the Era of Machine Learning and Artificial Intelligence.

Akihiro Nishi, Kosuke Inoue

Abstract read
In one paragraph

Article in Journal of epidemiology, 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

2 authors.

Akihiro NishiDepartment of Epidemiology, Fielding School of Public Health, University of California, Los Angeles.ORCID http://orcid.org/0000-0003-1629-5985
Kosuke InoueDepartment of Social Epidemiology, Graduate School of Medicine, Kyoto University.ORCID http://orcid.org/0000-0001-9614-8103

Funding

Network Intervention Planning without Actual Network Data for Infectious Disease ControlK01AI166347 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI NISHI, AKIHIRO · 2022 to 2025
$539k
NIAID NIH HHS K01 AI166347
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Identifiers

PMID39805596
PMCPMC12066194

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.