Evidence map›Paper›PMID 42351797›Full record

ReviewBiomedicines2026

Recent Advances in Automated Mitosis Detection in Digital Pathology: A PRISMA-Guided Systematic Review with Evaluation-Regime Stratification (2018-2025).

Mohamed Albahri, Markus Kukuk, Felix Nensa, Georg Christian Lodde, Elisabeth Livingstone, Dirk Schadendorf

Abstract readReview
In one paragraph

Review in Biomedicines, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Mohamed AlbahriDepartment of Computer Science, University of Applied Sciences Dortmund, 44227 Dortmund, Germany.ORCID 0009-0003-8079-7282
Markus KukukDepartment of Computer Science, University of Applied Sciences Dortmund, 44227 Dortmund, Germany.ORCID 0000-0001-6358-1824
Felix NensaInstitute for AI in Medicine (IKIM), University Hospital Essen, 45131 Essen, Germany.ORCID 0000-0002-5811-7100
Georg Christian LoddeDepartment of Dermatology, University Hospital Essen, 45147 Essen, Germany.ORCID 0000-0002-6930-2694
Elisabeth LivingstoneDepartment of Dermatology, University Hospital Essen, 45147 Essen, Germany.ORCID 0000-0001-8279-9239
Dirk SchadendorfDepartment of Dermatology, University Hospital Essen, 45147 Essen, Germany.ORCID 0000-0003-3524-7858

Funding

Deutsche Forschungsgemeinschaft 2535
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

artificial intelligencedigital pathologyhistopathologymitosis detectionprecision oncologysystematic review

Identifiers

PMID42351797
PMCPMC13296622

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.