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

• Sponsor: Deraya University (Other)
• Overall Status: Completed
• CT.gov ID: NCT05833685
• Collaborator: (none)
• Enrollment: 100
• Location: 1
• Actual Duration (Months): 2.4
• Patients Per Site Per Month: 41.7

Study Details

Study Description

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.

Condition or Disease	Intervention/Treatment	Phase
Female Sexual Dysfunction	Other: no intervention

Study Design

• Study Type: Observational
• Actual Enrollment: 100 participants
• Observational Model: Cohort
• Time Perspective: Cross-Sectional
• Official Title: Predicting Changes in Core Muscles During Female Sexual Dysfunction: A Comprehensive Analysis Using Machine and Deep Learning
• Actual Study Start Date: Feb 1, 2023
• Actual Primary Completion Date: Apr 10, 2023
• Actual Study Completion Date: Apr 15, 2023

Arms and Interventions

Arm	Intervention/Treatment
Female sexual dysfunction group	Other: no intervention; no intervention
Normal females	Other: no intervention; no intervention

Outcome Measures

Primary Outcome Measures

1. Diaphragm excursion [2 months]

   Ultrasound imaging curvilinear transducer

Secondary Outcome Measures

1. 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

Eligibility Criteria

Criteria

• Ages Eligible for Study: 30 Years to 40 Years
• Sexes Eligible for Study: Female

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

Contacts and Locations

Locations

	Site	City	State	Country	Postal Code
1	Deraya university	Minya	Minia	Egypt

Sponsors and Collaborators

• Deraya University

Investigators

None specified.

Study Documents (Full-Text)

None provided.

More Information

Publications

None provided.

• Responsible Party: Deraya University
• ClinicalTrials.gov Identifier: NCT05833685
• Other Study ID Numbers: P.REC/ 6/2023
• First Posted: Apr 27, 2023
• Last Update Posted: Apr 27, 2023
• Last Verified: Apr 1, 2023

• Individual Participant Data (IPD) Sharing Statement: No
• Plan to Share IPD: No
• Studies a U.S. FDA-regulated Drug Product: No
• Studies a U.S. FDA-regulated Device Product: No
• Keywords provided by Deraya University: Core Muscles, machine learning, and female sexual dysfunction, KNN, Random Forest Regression, Decision Tree, AdaBoost

Study Results

No Results Posted as of Apr 27, 2023