Hair transplant clinics can embed myhairline.ai's browser-based AI assessment tool on their websites to pre-screen patients, capture qualified leads, and reduce time spent on consultations with non-candidates. The tool uses 468 MediaPipe facial landmarks to deliver clinical-grade Norwood staging from any phone or desktop browser in under 60 seconds.
This content is for informational purposes only. Clinical decisions should always be made by qualified medical professionals.
Why Clinics Need Pre-Consultation Screening
The average hair transplant consultation takes 30 to 60 minutes of a surgeon's or consultant's time. A significant percentage of these consultations result in patients who are either not candidates for surgery or not ready to proceed. Pre-consultation AI screening addresses this by:
- Qualifying leads before they arrive at the clinic
- Educating patients about their Norwood stage and realistic expectations
- Reducing no-show rates because patients who understand their condition are more committed
- Shortening consultation time since baseline assessment data is already available
HairMetrix and similar hardware-based systems require patients to visit the clinic for assessment. myhairline.ai works free in any browser, meaning patients can self-assess from home before ever contacting the clinic.
How myhairline.ai Works
The tool processes a photo or live camera feed through Google's MediaPipe Face Mesh, mapping 468 three-dimensional facial landmarks. From these landmarks, the system calculates:
- Hairline position relative to forehead height (ideal male forehead height is approximately 6.5 cm)
- Temple recession depth and angle
- Frontal hairline shape classification
- Vertex coverage estimation
- Golden ratio (1.618) proportional analysis across facial thirds
These measurements map directly to the Norwood-Hamilton scale, producing a stage classification and estimated graft range:
| Norwood Stage | Grafts Needed | Description |
|---|---|---|
| Stage 2 | 800 to 1,500 | Slight recession at temples |
| Stage 3 | 1,500 to 2,200 | Deep temple recession forming M-shape |
| Stage 3V | 2,000 to 2,800 | Temple recession with vertex thinning |
| Stage 4 | 2,500 to 3,500 | Further recession with enlarged vertex area |
| Stage 5 | 3,000 to 4,500 | Separation between front and vertex narrowing |
| Stage 6 | 4,000 to 6,000 | Bridge between areas lost, horseshoe pattern |
| Stage 7 | 5,500 to 7,500 | Most extensive loss, narrow band remains |
All processing happens client-side in the patient's browser. No images are uploaded to any server, no personal data is collected, and no account is required.
Integration Options
Option 1: Direct Link
The simplest integration is adding a call-to-action button on your clinic's website that directs patients to myhairline.ai/analyze. This requires zero development work.
Best for: Clinics that want immediate implementation without any technical changes.
Implementation:
- Add a prominent button labeled "Get Your Free AI Hair Assessment" to your homepage, consultation page, and blog posts
- Link directly to myhairline.ai/analyze
- Instruct patients to share their results during their consultation booking
Option 2: Embedded Widget
For a more integrated experience, clinics can embed the assessment tool directly within their website using an iframe or web component. This keeps patients on your domain throughout the assessment process.
Best for: Clinics with web development resources who want a branded experience.
Implementation considerations:
- The embedded tool requires camera access permissions from the host page
- HTTPS is required for camera functionality
- Mobile responsiveness should be tested on the specific layout of your site
- The tool works on all modern browsers (Chrome, Safari, Firefox, Edge)
Option 3: API Integration
For clinics with custom patient management systems, API-level integration allows assessment data to flow directly into your CRM or electronic health record system.
Best for: Multi-location clinics or clinic groups with dedicated IT teams.
Data available through integration:
- Norwood stage classification
- Estimated graft range
- Key measurements (hairline position, temple angles)
- Assessment confidence score
- Timestamp and session identifier
Lead Capture Workflow
The most effective integration follows this patient journey:
Step 1: Patient Discovery
The patient finds your clinic through search, social media, or referral. On your website, they see a prominent call-to-action for a free AI hair assessment.
Step 2: Self-Assessment
The patient completes their assessment in under 60 seconds. They receive their Norwood stage, estimated graft count, and treatment options. No personal information is required at this point.
Step 3: Results and Call-to-Action
After receiving their results, the patient sees a customized call-to-action to book a consultation at your clinic. At this point, patients are more likely to provide contact information because they already have context about their condition.
Step 4: Pre-Consultation Data
When the patient books their consultation, their assessment results can be included in the intake form. This gives the surgeon or consultant baseline data before the appointment.
Step 5: In-Clinic Confirmation
During the consultation, the surgeon confirms or refines the AI assessment using clinical examination, trichoscopy, and other diagnostic tools. The AI assessment provides a consistent starting point that focuses the conversation on treatment options rather than basic classification.
Cost Comparison: Patient Acquisition Methods
Understanding the cost-effectiveness of AI-based lead capture compared to traditional methods:
| Acquisition Channel | Avg Cost per Lead | Lead Quality | Conversion Rate |
|---|---|---|---|
| Google Ads (hair transplant keywords) | $50 to $200 | Variable | 5% to 15% |
| Social media advertising | $20 to $80 | Lower | 2% to 8% |
| Referral programs | $0 to $100 | High | 15% to 30% |
| AI assessment tool (free) | $0 | Pre-qualified | 10% to 25% |
| SEO/organic content | $0 (ongoing content cost) | Medium-high | 5% to 15% |
The key advantage of AI-based lead capture is that patients self-qualify. Someone who completes an assessment and sees they are Norwood 4 with an estimated 2,500 to 3,500 grafts needed is already educated about the scope and approximate cost of their treatment.
Privacy and Compliance
Patient data handling is a critical concern for medical practices. myhairline.ai's architecture addresses this:
- No server-side image processing: All analysis runs in the patient's browser
- No image storage: Photos are processed in real-time and never saved
- No personal data collection: The tool does not require names, emails, or phone numbers
- HIPAA-friendly architecture: Since no protected health information passes through external servers, the integration does not create new HIPAA obligations for the clinic
- GDPR compliance: No cookies or tracking beyond standard web analytics
This privacy-first approach simplifies integration for clinics in regulated markets.
Technical Requirements
For Your Website
- HTTPS enabled (required for camera access)
- Modern browser support (Chrome 80+, Safari 14+, Firefox 78+, Edge 80+)
- Mobile-responsive design recommended
- Minimum 300px width for embedded widget
For Your Patients
- Any smartphone or computer with a camera
- Internet connection (initial load only; processing is client-side)
- No app download required
- No account creation required
Measuring Integration Success
Track these metrics to evaluate the impact of adding AI assessment to your patient acquisition funnel:
- Assessment completion rate: What percentage of visitors who start the assessment complete it
- Assessment-to-booking rate: What percentage of patients who complete an assessment book a consultation
- Pre-screened consultation efficiency: Whether consultations with pre-assessed patients are shorter and more productive
- Conversion rate improvement: Whether pre-assessed patients convert to procedures at a higher rate
- Patient satisfaction: Whether patients report feeling more informed and confident
Getting Started
Clinics interested in integrating myhairline.ai can begin with a direct link implementation in minutes. For embedded or API integrations, the process typically takes 1 to 2 weeks depending on your existing web infrastructure.
For patients exploring their hair loss options independently, get your free AI-powered Norwood assessment at myhairline.ai/analyze. Understanding your current stage and estimated treatment parameters is the best first step, whether you are considering a consultation or just beginning to research your options.