Evidence map›Paper›PMID 37982736›Full record

ArticleScandinavian journal of primary health care2024

Exploring the feasibility of an artificial intelligence based clinical decision support system for cutaneous melanoma detection in primary care - a mixed method study.

Jonatan Helenason, Christoffer Ekström, Magnus Falk, Panagiotis Papachristou

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Scandinavian journal of primary health care, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06932172 (Artificial Intelligent Decision Support for Skin Cancer Diagnostics in Primary Care - a Multicentre Randomized Controlled Trial.), which is not on this map. Cited by 18 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 5 pooled it
0.9field-weighted citation impact, top 19% of its field
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.

NCT06932172 narecruitingnot on this mapstarted 2025, after this paper: background citation

Artificial Intelligent Decision Support for Skin Cancer Diagnostics in Primary Care - a Multicentre Randomized Controlled Trial.

TypeinterventionalSponsorLinkoeping UniversityRan2025 to 2031Enrolled3,000ConditionsSkin CancerArmsArtificial inteligence based decision support to detect skin cancer
3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 5 syntheses or guidelines pooled it, 24 citations in OpenAlex.

  1. Pooled it
  2. Why aren't they used? Systematic review of barriers to implementation of clinical decision support systems for early cancer detection in primary care.The British journal of general practice : the journal of the Royal College of General Practitioners · 2026
    Pooled it
  3. Diagnostic Risk Prediction Models for Upper Gastrointestinal Cancers: A Systematic Review.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
    Pooled it
  4. Pooled it
  5. Pooled it
  6. Review
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. AI and Primary Care: Scoping Review.Journal of medical Internet research · 2025
    Article
  13. Review
  14. Review
  15. Article
  16. Review
  17. Review
  18. 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

4 authors at 2 institutions in 1 country.

Jonatan HelenasonAI Medical Technology, Stockholm, Sweden.
Christoffer EkströmAI Medical Technology, Stockholm, Sweden.
Magnus FalkDepartment of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden.
Panagiotis PapachristouDepartment of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden.
Karolinska Institutet · SELinköping University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Decision Support Systems, ClinicalMelanomaSkin NeoplasmsArtificial IntelligenceFeasibility StudiesHumansPrimary Health CareArtificial Intelligenceclinical decision support systemCutaneous Melanomamobile healthprimary care physicians

Identifiers

PMID37982736
PMCPMC10851794
OpenAlexW4388834207

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.