Evidence map›Paper›PMID 40869663›Full record

ArticleJournal of clinical medicine2025

Accurate AI-Based Characterization of Wound Size and Tissue Composition in Hard-to-Heal Wounds.

Karl Lindborg, Matilda Karlsson, Ana Kotorri, Folke Sjöberg, Mats Fredrikson, Axel Haglind, Zacharias Sjöberg, Moustafa Elmasry

Abstract read
In one paragraph

Article in Journal of clinical medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Detection of Hypergranulation Tissue in Chronic Wound Images Using Artificial Intelligence Algorithms.Wound repair and regeneration : official publication of the Wound Healing Society [and] the European Tissue Repair Society
    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

8 authors.

Karl LindborgDepartment of Hand Surgery, Plastic Surgery and Burns, Linköping University Hospital, 581 85 Linkoping, Sweden.ORCID 0009-0007-3762-262X
Matilda KarlssonDepartment of Hand Surgery, Plastic Surgery and Burns, Linköping University Hospital, 581 85 Linkoping, Sweden.
Ana KotorriDepartment of Biomedical and Clinical Sciences, Linköping University, 581 85 Linköping, Sweden.
Folke SjöbergDepartment of Hand Surgery, Plastic Surgery and Burns, Linköping University Hospital, 581 85 Linkoping, Sweden.ORCID 0000-0002-5903-2918
Mats FredriksonDepartment of Biomedical and Clinical Sciences, Linköping University, 581 85 Linköping, Sweden.ORCID 0000-0003-3067-8587
Axel HaglindDepartment of Emergency Medicine, Linköping University, 581 85 Linköping, Sweden.
Zacharias SjöbergDermacut AB, 112 35 Stockholm, Sweden.
Moustafa ElmasryDepartment of Hand Surgery, Plastic Surgery and Burns, Linköping University Hospital, 581 85 Linkoping, Sweden.

Funding

Medical Research Council of Southeast Sweden 2024_396498VINNOVA 2024_007_0036
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

artificial intelligencechronic woundshard-to-heal woundsimaginginformaticsmachine learningnecrosisslough

Identifiers

PMID40869663
PMCPMC12387974

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.