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Predicting Changes in Core Muscles During Female Sexual Dysfunction: A Comprehensive Analysis Using Machine and Deep Learning

NCT05833685 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 100

Last updated 2023-09-26

No results posted yet for this study

Summary

The purpose of this study is to Predicting changes in core muscles during female sexual dysfunction by A Comprehensive Analysis Using Machine and Deep Learning Female sexual dysfunction (FSD) is a common condition that affects womenof all ages. It is characterized by a range of symptoms, including decreased libido, difficulty achieving orgasm, and pain during intercourse. One potential cause of FSD is muscular weakness or changes in the core muscles. These muscles play an important role in sexual function, and changes in their strength or activation patterns can lead to FSD. Additionally, the development of a machine learning model for this purpose could pave the way for future studies exploring the use of artificial intelligence in the diagnosis and treatment of other musculoskeletal disorder and female health issues.

Conditions

  • Female Sexual Dysfunction

Interventions

OTHER

no intervention

no intervention

Sponsors & Collaborators

  • Deraya University

    lead OTHER

Eligibility

Min Age
30 Years
Max Age
40 Years
Sex
FEMALE
Healthy Volunteers
No

Timeline & Regulatory

Start
2023-02-01
Primary Completion
2023-04-10
Completion
2023-04-15

Countries

  • Egypt

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05833685 on ClinicalTrials.gov