Evidence map›Paper›PMID 39649123›Full record

ArticleGeburtshilfe und Frauenheilkunde2024

Current Developments from Silicon Valley - How Artificial Intelligence is Changing Gynecology and Obstetrics.

Sebastian Griewing, Niklas Gremke, Uwe Wagner, Markus Wallwiener, Sebastian Kuhn, Commission Digital Medicine of the German Society for Gynecology and Obstetrics

Abstract read
In one paragraph

Article in Geburtshilfe und Frauenheilkunde, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Therapy of early breast cancer: current status and perspectives.Archives of gynecology and obstetrics · 2025
    Review
  3. Article
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

6 authors.

Sebastian GriewingStanford Center for Biomedical Informatics Research, Stanford University School of Medicine, Palo Alto, CA, USA.
Niklas GremkeKlinik für Gynäkologie und Geburtshilfe Marburg, Philipps-Universität Marburg, Marburg, Germany.
Uwe WagnerKlinik für Gynäkologie und Geburtshilfe Marburg, Philipps-Universität Marburg, Marburg, Germany.
Markus WallwienerKommission Digitale Medizin der Deutschen Gesellschaft für Gynäkologie und Geburtshilfe, Berlin, Germany.
Sebastian KuhnInstitut für Digitale Medizin, Universitätsklinikum Marburg, Philipps-Universität Marburg, Marburg, Germany.
Commission Digital Medicine of the German Society for Gynecology and Obstetrics

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Artificial intelligence (AI) has become an omnipresent topic in the media. Lively discussions are being held on how AI could revolutionize the global healthcare landscape. The development of innovative AI models, including in the medical sector, is increasingly dominated by large high-tech companies. As a global technology epicenter, Silicon Valley hosts many of these technological giants which are muscling their way into healthcare provision with their advanced technologies. The annual conference of the American College of Obstetrics and Gynecology (ACOG) was held in San Francisco from 17 - 19 May 2024. ACOG celebrated its AI premier, hosting two sessions on current AI topics in gynecology at their annual conference. This paper provides an overview of the topics discussed and permits an insight into the thinking in Silicon Valley, showing how technology companies grow and fail there and examining how our American colleagues perceive increased integration of AI in gynecological and obstetric care. In addition to the classification of various, currently popular AI terms, the article also presents three areas where artificial intelligence is being used in gynecology and looks at the current developmental status in the context of existing obstacles to implementation and the current digitalization status of the German healthcare system.

Indexed as

artificial intelligencegynecologyobstetricswomenʼs health

Identifiers

PMID39649123
PMCPMC11623998

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.