Deep Dive: How Our AI Predicts Your Graft Needs with 96% Accuracy

The Problem with Traditional Consultations

In the past, to find out how many grafts you needed, you had to physically visit a clinic or send low-quality photos via WhatsApp to a sales representative. These estimates were often subjective, leading to mismatched expectations, overharvesting of the donor area, or unexpected costs on surgery day. HairVis eliminates this uncertainty through advanced Artificial Intelligence.

The Architecture of HairVis AI

Our platform is built on state-of-the-art Computer Vision algorithms trained on tens of thousands of clinically verified before-and-after cases. When you upload photos of your front, top, and donor areas, the system performs a multi-layered analysis:

1. Scalp Segmentation: The AI separates hair pixels from skin pixels, normalizing lighting and angle variations to get a clear view of the scalp tissue.
2. Density Mapping: It calculates the precise density of native hair in various zones (frontal, mid-scalp, vertex) to identify the severity of thinning.
3. Donor Capacity Assessment: Arguably the most critical step. The AI analyzes your occipital region (back of the head) to determine if you have enough healthy grafts to cover the balding areas without looking depleted.
4. Norwood Classification & Graft Calculation: Finally, it maps your specific pattern to the Norwood scale and uses mathematical area algorithms (cm²) to predict the exact number of follicular units required.

Empowering Both Patients and Clinics

For patients, this means absolute transparency and protection against unethical upselling. For partner clinics, receiving a HairVis AI lead means they get a fully profiled patient with a scientifically verified graft requirement. This streamlines the proposal process, allowing doctors to focus on medical planning rather than sales pitches.