Evidence map›Paper›PMID 38472382›Full record

ArticlePathologie (Heidelberg, Germany)2024

[Artificial intelligence for pathology-how, where, and why?]

Peter Schüffler, Katja Steiger, Carolin Mogler

Abstract readEnglish Abstract
PubMed Full text at PMC Publisher
In one paragraph

Article in Pathologie (Heidelberg, Germany), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Study on the Transformation Process of Thyroid Fine-Needle Aspiration Liquid-Based Cytology to Whole-Slide Image.Cytopathology : official journal of the British Society for Clinical Cytology · 2025
    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

3 authors.

Peter SchüfflerInstitut für Pathologie, TUM School of Medicine and Health, Technische Universität München, München, Deutschland. peter.schueffler@tum.de.ORCID http://orcid.org/0000-0002-1353-8921
Katja SteigerInstitut für Pathologie, TUM School of Medicine and Health, Technische Universität München, München, Deutschland.
Carolin MoglerInstitut für Pathologie, TUM School of Medicine and Health, Technische Universität München, München, Deutschland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Artificial intelligence promises many innovations and simplifications in pathology, but also raises just as many questions and uncertainties. In this article, we provide a brief overview of the current status, the goals already achieved by existing algorithms, and the remaining challenges.

Indexed as

AlgorithmsArtificial IntelligencePathologyHumansAutomationDigital medicineDigital pathologyQuality assuranceQuality control

Identifiers

PMID38472382
PMCPMC11045628

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.