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

Status

Completed

Phases

Unknown

Study type

Observational

Source

ClinicalTrials.gov

Registry ID

NCT05833685

Enrollment

100

Registered

2023-04-27

Start date

2023-02-01

Completion date

2023-04-15

Last updated

2023-09-26

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Female Sexual Dysfunction

Keywords

Core Muscles, machine learning,female sexual dysfunction, KNN

Brief 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.

Interventions

OTHERno intervention

no intervention

Study design

Observational model

COHORT

Time perspective

CROSS_SECTIONAL

Eligibility

Sex/Gender

FEMALE

Age

30 Years to 40 Years

Inclusion criteria

* a number of parities ≤ three * normal vaginal deliveries

Exclusion criteria

* History of a recto-vaginal or vesico-vaginal fistula, undiagnosed uterine bleeding urinary tract infection, * diabetes, * intrauterine device * sexual disorder

Design outcomes

Primary

Measure	Time frame	Description
Diaphragm excursion	2 months	Ultrasound imaging curvilinear transducer

Secondary

Measure	Time frame	Description
Force of contraction of pelvic floor muscles	2 months	ultrasound imaging, convex transducer was used at a frequency of 5 MHz for evaluating. Voluntary PFM contractions' force (strength) of all patients. It has a good inter-rater reliability for measuring PFM force (ICC, 0.81, 0.7123) respectively, as well as a good intra-rater reliability (ICC,0.98, 0.9841) respectively

Countries

Egypt

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026