Evidence map›Paper›PMID 37502196›Full record

ArticleGeoHealth2023

Generative AI as a Tool for Environmental Health Research Translation.

Lauren B Anderson, Dhiraj Kanneganti, Mary Bentley Houk, Rochelle H Holm, Ted Smith

Abstract read
In one paragraph

Article in GeoHealth, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Generative AI in peer review process for occupational health.Occupational medicine (Oxford, England) · 2025
    Article
  5. Article
  6. The generative revolution: a brief introduction.International journal of health geographics · 2025
    Article
  7. Article
  8. Article
  9. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Lauren B AndersonChristina Lee Brown Envirome Institute School of Medicine University of Louisville Louisville KY USA.ORCID https://orcid.org/0000-0003-0556-7260
Dhiraj KannegantiChristina Lee Brown Envirome Institute School of Medicine University of Louisville Louisville KY USA.
Mary Bentley HoukChristina Lee Brown Envirome Institute School of Medicine University of Louisville Louisville KY USA.
Rochelle H HolmChristina Lee Brown Envirome Institute School of Medicine University of Louisville Louisville KY USA.ORCID https://orcid.org/0000-0001-8849-1390
Ted SmithChristina Lee Brown Envirome Institute School of Medicine University of Louisville Louisville KY USA.ORCID https://orcid.org/0000-0003-2804-4294

Funding

Superfund Training CoreP42ES023716 · NIEHS · UNIVERSITY OF LOUISVILLE · PI SRIVASTAVA, SANJAY · 2017 to 2025
$18.1M
University of Louisville Center for Integrative Environmental Health SciencesP30ES030283 · NIEHS · UNIVERSITY OF LOUISVILLE · PI Amanda Jo LeBlanc · 2020 to 2026
$10.0M
NIEHS NIH HHS P30 ES030283NIEHS NIH HHS P42 ES023716
6 · The paper itself

Abstract

One valuable application for generative artificial intelligence (AI) is summarizing research studies for non-academic readers. We submitted five articles to Chat Generative Pre-trained Transformer (ChatGPT) for summarization, and asked the article's author to rate the summaries. Higher ratings were assigned to more insight-oriented activities, such as the production of eighth-grade reading level summaries, and summaries highlighting the most important findings and real-world applications. The general summary request was rated lower. For the field of environmental health science, no-cost AI technology such as ChatGPT holds the promise to improve research translation, but it must continue to be improved (or improve itself) from its current capability.

Indexed as

artificial intelligenceenvironmental health justiceplain language summaries

Identifiers

PMID37502196
PMCPMC10369501

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.