Evidence map›Paper›PMID 42123100›Full record

ArticleJournal of clinical medicine2026

Artificial Intelligence for Tumor Tissue Detection in Stomach Cancer: A Retrospective Algorithm Development and Validation Study.

Nikolay Karnaukhov, Vincenzo Davide Palumbo, Mark Voloshin, Alexander Mongolin, Alexander Skvortsov, Ainur Karimov, Yuri Gorbachev, Konstantin Abramov, Anastasia Zabruntseva, Georgy Yakubovsky and 4 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of clinical medicine, 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

14 authors.

Nikolay KarnaukhovA.S. Loginov Moscow Clinical Scientific Center, 111123 Moscow, Russia.ORCID 0000-0003-0889-2720
Vincenzo Davide PalumboTriolo-Zancla Hospital, 90133 Palermo, Italy.ORCID 0000-0002-4603-2011
Mark VoloshinA.S. Loginov Moscow Clinical Scientific Center, 111123 Moscow, Russia.ORCID 0000-0002-2302-3542
Alexander MongolinInstitute of Artificial Intelligence, 420500 Innopolis, Russia.
Alexander SkvortsovInstitute of Artificial Intelligence, 420500 Innopolis, Russia.ORCID 0009-0001-5201-5859
Ainur KarimovInstitute of Artificial Intelligence, 420500 Innopolis, Russia.ORCID 0009-0000-4770-2534
Yuri GorbachevA.S. Loginov Moscow Clinical Scientific Center, 111123 Moscow, Russia.ORCID 0009-0009-1666-8594
Konstantin AbramovA.S. Loginov Moscow Clinical Scientific Center, 111123 Moscow, Russia.ORCID 0009-0006-8006-7871
Anastasia ZabruntsevaA.S. Loginov Moscow Clinical Scientific Center, 111123 Moscow, Russia.
Georgy YakubovskyA.S. Loginov Moscow Clinical Scientific Center, 111123 Moscow, Russia.
Aleksandra AsaturovaNational Medical Research Center for Obstetrics, Gynecology and Perinatology Named After Academician V.I. Kulakov, Ministry of Health of Russia, 117513 Moscow, Russia.ORCID 0000-0001-8739-5209
Andrea PalicelliPathology Unit, Azienda USL-IRCCS di Reggio Emilia, 42123 Reggio Emilia, Italy.ORCID 0000-0003-2299-5160
Sergey KhomerikiA.S. Loginov Moscow Clinical Scientific Center, 111123 Moscow, Russia.ORCID 0000-0003-4308-8009
Igor KhatkovA.S. Loginov Moscow Clinical Scientific Center, 111123 Moscow, Russia.

Funding

Neural network training and the required computational infrastructure were provided under Agreement No. 142/21 (dated August 18, 2021) on joint implementation of AI research activities between the Loginov Moscow Clinical Scientific Center (industrial part Agreement No. 142/21 (dated August 18, 2021)
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

artificial intelligence (AI)artificial neural networks (ANNs)convolutional neural networks (CNNs)stomach cancer

Identifiers

PMID42123100
PMCPMC13163764

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.