Evidence map›Paper›PMID 40870505›Full record

ReviewMedicina (Kaunas, Lithuania)2025

Applications of Deep Learning Models in Laparoscopy for Gynecology.

Fani Gkrozou, Vasileios Bais, Charikleia Skentou, Dimitrios Rafail Kalaitzopoulos, Georgios Grigoriadis, Anastasia Vatopoulou, Minas Paschopoulos, Angelos Daniilidis

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Medicina (Kaunas, Lithuania), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. 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

8 authors.

Fani GkrozouDepartment of Obstetrics and Gynecology, Medical School of Ioannina, University General Hospital, 45500 Ioannina, Greece.ORCID 0000-0001-7164-8603
Vasileios BaisDepartment of Obstetrics and Gynecology, Medical School of Ioannina, University General Hospital, 45500 Ioannina, Greece.
Charikleia SkentouDepartment of Obstetrics and Gynecology, Medical School of Ioannina, University General Hospital, 45500 Ioannina, Greece.
Dimitrios Rafail KalaitzopoulosCantonal Hospital of Schaffhausen, 8200 Schaffhausen, Switzerland.ORCID 0000-0002-8053-1308
Georgios Grigoriadis1st University Department in Obstetrics and Gynecology, Papageorgiou General Hospital, School of Medicine, Aristotle University of Thessaloniki, 54643 Thessaloniki, Greece.ORCID 0000-0002-8938-0729
Anastasia VatopoulouDepartment of Obstetrics and Gynecology, Medical School of Ioannina, University General Hospital, 45500 Ioannina, Greece.ORCID 0000-0001-5460-3323
Minas PaschopoulosDepartment of Obstetrics and Gynecology, Medical School of Ioannina, University General Hospital, 45500 Ioannina, Greece.
Angelos Daniilidis1st University Department in Obstetrics and Gynecology, Papageorgiou General Hospital, School of Medicine, Aristotle University of Thessaloniki, 54643 Thessaloniki, Greece.ORCID 0000-0003-0044-9214

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Deep LearningGynecologic Surgical ProceduresGynecologyLaparoscopyFemaleHumansNeural Networks, Computerartificial intelligenceconvolutional neural networkdeep learninglaparoscopy

Identifiers

PMID40870505
PMCPMC12388686

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.