Health Condition 1: 4- Measurement and Monitoring Health Condition 2: N528- Other male erectile dysfunction
Conditions
Interventions
Intervention1: Application on Sperm DNA fragmentation assessment: The intervention involves implementing an artificial intelligence-based system to analyze sperm DNA fragmentation. This includes train
Sponsors
Dr M Geethanjali
Eligibility
Inclusion criteria
Inclusion criteria: Age from 25-45 years,married for more than 1 year with unprotected Sexual intersource,with no structural abnormalities in male genital system.
Exclusion criteria
Exclusion criteria: Male more than 45 years
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Results from the study indicate that the AI-enhanced method significantly improves the accuracy and reliability of sperm DNA fragmentation assessments. This thesis contributes to the growing field of reproductive medicine by demonstrating the potential of AI technologies to transform traditional diagnostic processes, ultimately aiming to improve fertility treatments and outcomes for couples facing infertility challenges. Timepoint: Outcome will be assessed within minutes | — |
Secondary
| Measure | Time frame |
|---|---|
| Secondary Outcomes: 1. Time efficiency in processing and analysis. 2. Cost-effectiveness of AI vs. standard methods. 3. Reproducibility and consistency of results. 4. Impact on fertility treatment success rates. 5. User-friendliness and scalability of AI-based systems. Timepoint: ;Secondary outcomes of a sperm DNA fragmentation test include fertilization success, embryo quality, pregnancy & miscarriage rates, live birth outcomes, & response to treatments like antioxidants. It also assesses correlations with sperm motility, morphology, & lifestyle factors affecting fertility, providing insights into reproductive potential & assisted reproduction success. Timepoint: 8 weeks | — |
Countries
India
Contacts
Public ContactDr Nidhi Sharma
Saveetha Medical College and Hospital
Outcome results
None listed