Evidence map›Paper›PMID 40727618›Full record

ArticleDigital health

Sexual health service users' perspectives on artificial intelligence applications for identification of lesions associated with sexually transmissible infections: A qualitative study.

Alicia J King, Nyi Nyi Soe, Phyu Mon Latt, Lei Zhang, Meredith Temple-Smith, Kate Maddaford, Christopher K Fairley, Eric Pf Chow, Tiffany R Phillips

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Digital health. 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. Review
  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

9 authors.

Alicia J KingSchool of Translational Medicine, Monash University, Melbourne, Victoria, Australia.ORCID https://orcid.org/0000-0002-9430-9804
Nyi Nyi SoeSchool of Translational Medicine, Monash University, Melbourne, Victoria, Australia.ORCID https://orcid.org/0009-0001-4554-3549
Phyu Mon LattSchool of Translational Medicine, Monash University, Melbourne, Victoria, Australia.ORCID https://orcid.org/0000-0001-5880-5731
Lei ZhangSchool of Translational Medicine, Monash University, Melbourne, Victoria, Australia.ORCID https://orcid.org/0000-0003-2343-084X
Meredith Temple-SmithDepartment of General Practice and Primary Care, The University of Melbourne, Melbourne, Victoria, Australia.ORCID https://orcid.org/0000-0003-1296-9591
Kate MaddafordSchool of Translational Medicine, Monash University, Melbourne, Victoria, Australia.ORCID https://orcid.org/0000-0001-5213-1289
Christopher K FairleySchool of Translational Medicine, Monash University, Melbourne, Victoria, Australia.ORCID https://orcid.org/0000-0001-9081-1664
Eric Pf ChowSchool of Translational Medicine, Monash University, Melbourne, Victoria, Australia.ORCID https://orcid.org/0000-0003-1766-0657
Tiffany R PhillipsSchool of Translational Medicine, Monash University, Melbourne, Victoria, Australia.ORCID https://orcid.org/0000-0001-6920-7710

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

artificial intelligencecomputer-assistedhealth information seekingimage interpretationmobile applicationsSexually transmitted diseases

Identifiers

PMID40727618
PMCPMC12301645

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.