NCT05833685

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

• Status: Completed
• Phase: —
• Study type: Observational
• Enrollment: 100 (actual)
• Sponsor: Deraya University · Academic / Other
• Sex: Female
• Age: 30 Years – 40 Years
• Healthy volunteers: —

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

Type	Name	Description
OTHER	no intervention	no intervention

Timeline

• Start date: 2023-02-01
• Primary completion: 2023-04-10
• Completion: 2023-04-15
• First posted: 2023-04-27
• Last updated: 2023-09-26

Locations

1 site across 1 country: Egypt