Artificial Intelligence, Deep Learning, and Computer Vision in Hysteroscopy: A Systematic Review.

Rafał Watrowski, Attilio Di Spiezio Sardo, Peter Török, Andrea Rosati, Stoyan Kostov, Ibrahim Alkatout, Salvatore Giovanni Vitale

Abstract readReview

PubMed Full text at PMC Publisher

In one paragraph

Review in Diagnostics (Basel, Switzerland), 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

7 authors.

Rafał WatrowskiDepartment of Gynecology, Helios Hospital Müllheim, Teaching Hospital of the University of Freiburg, Heliosweg 1, 79379 Müllheim, Germany.ORCID 0000-0002-6828-1887

Attilio Di Spiezio SardoDepartment of Public Health, School of Medicine, University of Naples Federico II, 80138 Naples, Italy.

Peter TörökDepartment of Obstetrics and Gynecology, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary.

Andrea RosatiDepartment of Woman's and Child Health and Public Health Sciences, Gynecologic Oncology Unit, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, 00168 Rome, Italy.

Stoyan KostovResearch Institute, Medical University Pleven, 5800 Pleven, Bulgaria.ORCID 0000-0002-5279-3095

Ibrahim AlkatoutDepartment of Obstetrics and Gynecology, Medical University of Innsbruck, 6020 Innsbruck, Austria.

Salvatore Giovanni VitaleObstetrics and Gynecology Unit, "Gaspare Rodolico-San Marco" University Hospital, Department of General Surgery and Medical Surgical Specialties, University of Catania, 95124 Catania, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

artificial intelligencecomputer-aided diagnosiscomputer visionconvolutional neural networkdeep learninggynecologyhysteroscopichysteroscopymachine learningneural networks

Identifiers

PMID42351557

DOI10.3390/diagnostics16121899

PMCPMC13298016

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.