Evidence map›Paper›PMID 40506914›Full record

ReviewDiagnostics (Basel, Switzerland)2025

A Narrative Review of Artificial Intelligence in MRI-Guided Prostate Cancer Diagnosis: Addressing Key Challenges.

Deniz Alis, Aslihan Onay, Evrim Colak, Ercan Karaarslan, Baris Bakir

Abstract readReview
In one paragraph

Review in Diagnostics (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Modern integrative prostate cancer diagnostics.Current opinion in urology · 2026
    Review
  9. Review
  10. Review
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

5 authors.

Deniz AlisDepartment of Radiology, School of Medicine, Acibadem Mehmet Ali Aydinlar University, 34750 Istanbul, Atasehir, Turkey.
Aslihan OnayDepartment of Radiology, Faculty of Medicine, TOBB University of Economics and Technology, Beştepe Mah Yasam Cad No. 5, 06510 Ankara, Yenimahalle, Turkey.
Evrim ColakElectrical and Electronics Engineering Department, Ankara University, 50. Yil Yerleskesi Bahcelievler Mah, 06830 Ankara, Golbasi, Turkey.ORCID 0000-0002-4961-5060
Ercan KaraarslanDepartment of Radiology, School of Medicine, Acibadem Mehmet Ali Aydinlar University, 34750 Istanbul, Atasehir, Turkey.
Baris BakirDepartment of Radiology, Istanbul Faculty of Medicine, Istanbul University Capa, 34093 Istanbul, Fatih, Turkey.ORCID 0000-0002-6587-9787

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

artificial intelligence (AI)deep learning (DL)machine learning (ML)magnetic resonance imaging (MRI) of prostateprostate cancer (PCa)

Identifiers

PMID40506914
PMCPMC12154491

What OpenQuestion holds

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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.