Evidence map›Paper›PMID 42228072›Full record

ReviewPathologie (Heidelberg, Germany)2026

[Artificial intelligence in molecular pathology : Introduction and overview].

Daniel Kazdal, Jan Budczies, Michael Menzel, Christian Altbürger, Andy Kahles, Iordanis Ourailidis, Martin Brinkmöller, Peter Schirmacher, Albrecht Stenzinger

Abstract readEnglish AbstractReview
PubMed Publisher
In one paragraph

Review in Pathologie (Heidelberg, Germany), 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

9 authors.

Daniel KazdalPathologisches Institut, Universitätsklinikum Heidelberg, Im Neuenheimer Feld 224, 69120, Heidelberg, Deutschland.
Jan BudcziesPathologisches Institut, Universitätsklinikum Heidelberg, Im Neuenheimer Feld 224, 69120, Heidelberg, Deutschland.
Michael MenzelPathologisches Institut, Universitätsklinikum Heidelberg, Im Neuenheimer Feld 224, 69120, Heidelberg, Deutschland.
Christian AltbürgerPathologisches Institut, Universitätsklinikum Heidelberg, Im Neuenheimer Feld 224, 69120, Heidelberg, Deutschland.
Andy KahlesPathologisches Institut, Universitätsklinikum Heidelberg, Im Neuenheimer Feld 224, 69120, Heidelberg, Deutschland.
Iordanis OurailidisPathologisches Institut, Universitätsklinikum Heidelberg, Im Neuenheimer Feld 224, 69120, Heidelberg, Deutschland.
Martin BrinkmöllerPathologisches Institut, Universitätsklinikum Heidelberg, Im Neuenheimer Feld 224, 69120, Heidelberg, Deutschland.
Peter SchirmacherPathologisches Institut, Universitätsklinikum Heidelberg, Im Neuenheimer Feld 224, 69120, Heidelberg, Deutschland.
Albrecht StenzingerPathologisches Institut, Universitätsklinikum Heidelberg, Im Neuenheimer Feld 224, 69120, Heidelberg, Deutschland. albrecht.stenzinger@med.uni-heidelberg.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over the past approximately 15 years, pathology has undergone a significant transformation, accompanied by increasing mechanization, technological advancement, and digitization within the field. Molecular pathology plays a significant role in this context and is, particularly in the processing of next-generation sequencing data, "digital by design," allowing for the direct application of artificial intelligence (AI) methods throughout the entire process chain. This paper provides an overview of application areas and critically evaluates them.

Indexed as

Artificial IntelligencePathology, MolecularComputational BiologyHigh-Throughput Nucleotide SequencingHumansAgentic AIAI-assisted variant interpretationAutomated laboratory workflowsBioinformatic pipeline managementComputer-assisted decision making

Identifiers

PMID42228072

What Socratic holds

Textmetadata
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 Socratic graph.