AI-Powered Semen Analysis: Enhancing Fertility Accuracy

An AI-driven home semen analysis platform tailored for lab owners and fertility clinics, offering clinic‑grade diagnostics with minimal overhead and maximized patient engagement.

Client

A fast‑growing U.K. healthcare startup specializing in male infertility diagnostics.

Service

Built a Windows app and smartphone home-test kit delivering live video guidance, AI-powered sperm analysis, and seamless patient record management.

Timeline

1 Year

Goal

Enable labs and clinics to extend their reach beyond the walls of their facility by offering patients a private, at‑home semen analysis that meets laboratory accuracy standards—driving new revenue streams, reducing in‑office congestion, and strengthening clinician‑patient relationships.

Challenge

Clinic Bottlenecks: High patient volumes strained scheduling and lab resources.
Subjectivity: Manual microscopy introduced variability in sperm counts and motility assessments.
Data Silos: Disconnected video footage and patient records slowed diagnosis.
Low Engagement: Rigid workflows offered little feedback, leading to drop‑offs.

Solution

Home Testing Kit: Precision‑milled glass chamber clips onto any smartphone for consistent sample capture.
Real‑Time Guidance: On‑screen OpenCV overlays direct placement and lighting checks.
AI Analysis: Instant sperm concentration, motility, and morphology metrics via proprietary algorithms.
Unified Software:
- Frame‑by‑frame video review
- Quick patient‑record creation & result logging
- Automated, visual report generation

Outcome

Operational Efficiency: 20 partner labs onboarded in three months, cutting patient‑processing time by 50%.
Diagnostic Precision: AI algorithms achieved <2% variance against gold‑standard lab measures.
Patient Retention: Interactive guidance and instant results boosted test completion rates by 65%.
Revenue Growth: Labs saw a 30% uptick in service bookings by marketing the at‑home kit.

Brief

Male infertility impacts 1 in 20 men, yet traditional analysis demands clinic visits, specialized equipment, and skilled technicians. Lab owners face crowded schedules, inconsistent results, and patient no‑shows. This platform bridges the gap: a precision‑milled smartphone adapter captures sample video at home, while a robust Windows app guides both patients and technicians through AI‑validated sperm concentration and motility analysis, unifying data into a single, HIPAA‑compliant dashboard.

Challenges

Hardware Variability: Ensuring clear video capture across dozens of smartphone models.
AI Robustness: Training models to handle sample differences—lighting, viscosity, debris.
Usability: Creating an interface that lab technicians and non‑technical staff can adopt instantly.
Regulatory Compliance: Balancing cloud‑based convenience with strict data‑privacy mandates.

Solution

Dynamic Camera Calibration: Automated exposure and focus routines tested on 95% of market‑share smartphones, ensuring uniform image quality.
Augmented AI Training: Leveraged synthetic data augmentation and cross‑validation to minimize bias and boost algorithm resilience.
Role‑Based UI/UX: Designed distinct workflows—patient self‑tests at home, technician reviews in‑lab—with contextual tooltips and guided overlays.
Secure, Scalable Architecture: Employed end‑to‑end encryption, on‑premises hosting options, and audit trails to meet HIPAA and regional privacy standards.

Impact

Rapid Clinic Adoption: 20 labs integrated the system within 90 days, expanding service reach into underserved markets.
Patient Reach: Over 5,000 at‑home tests completed in Q1 post‑launch, reducing clinic footfall by 80%.
Staff Efficiency: Labs report saving 120+ staff hours monthly on manual counting and report generation.
Improved Treatment Plans: Personalized motility heatmaps and trend dashboards led to 15% average improvement in patient outcomes.
Future Roadmap: Developing native iOS/Android apps for direct‑to‑consumer reporting and integrating hormonal and genetic markers to deliver a comprehensive reproductive health suite.