Evidence map›Paper›PMID 40422536›Full record

ArticleCurrent oncology (Toronto, Ont.)2025

From Algorithms to Insight: The Transformative Power of Artificial Intelligence and Machine Learning in Urological Cancer Research.

Matthias May, Sabine Brookman-May, Emily Rinderknecht

Abstract readEditorial
In one paragraph

Article in Current oncology (Toronto, Ont.), 2025. 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

3 authors.

Matthias MayDepartment of Urology, St. Elisabeth Hospital Straubing, 94315 Straubing, Germany.
Sabine Brookman-MayDepartment of Urology, LMU University Hospital, Ludwig Maximilian University of Munich, 81377 Munich, Germany.
Emily RinderknechtDepartment of Urology, St. Josef Medical Center, University of Regensburg, 93053 Regensburg, Germany.ORCID 0009-0002-7283-5237

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As we advance into a new era of oncological science, artificial intelligence (AI) is no longer a peripheral tool-it is a central agent of change [...].

Indexed as

AlgorithmsArtificial IntelligenceMachine LearningUrologic NeoplasmsHumans

Identifiers

PMID40422536
PMCPMC12110407

What Socratic 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 Socratic graph.