Evidence map›Paper›PMID 39392527›Full record

ReviewCurrent urology reports2024

The Intersection of Artificial Intelligence, Wearable Devices, and Sexual Medicine.

Dayna R Smerina, Amy M Pearlman

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current urology reports, 2024. 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. Review
  3. Article
  4. 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

2 authors.

Dayna R SmerinaNova Southeastern University Dr. Kiran C. Patel College of Osteopathic Medicine, Fort Lauderdale, FL, USA.
Amy M PearlmanPrime Institute, 475 Biltmore Way, Suite 314, Coral Gables, FL, 33134, USA. amyMpearlman@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewThe aim of our review paper is to provide a comprehensive overview of the current technologies in artificial intelligence and wearable devices dedicated to sexual health. RECENT

findingsCurrently, AI-powered technologies are enhancing our understanding of reproductive health and sexually transmitted infections, and facilitating empathetic education and outreach to diverse populations. Additionally, innovative wearable devices are providing insights into men's erectile health, addressing ejaculatory concerns, and exploring women's orgasms in relation to pelvic floor muscles and clitoral blood flow. The field of sexual health technology is rapidly expanding, with recent innovations transforming our understanding of sexual health. As technology progresses, it is crucial to address significant ethical considerations to protect users, particularly due to the sensitive nature of the data involved.

Indexed as

Artificial IntelligenceSexual HealthWearable Electronic DevicesFemaleHumansMaleArtificial intelligenceErectile dysfunctionPremature ejaculationSexual medicineWearable devices

Identifiers

What OpenQuestion holds

Textmetadata
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.