Lushair 2.0

Sale Price: $169.00 Original Price: $199.00

Lushair 2.0 is our next-generation AI-powered hair and scalp analysis device, designed for clinical collaboration, patient education, and treatment tracking.
This version is currently offered as a hospital partnership sample unit, intended for pilot testing, workflow evaluation, and early-stage medical collaboration.

Built for dermatology clinics, hair restoration centers, hospitals, and medical aesthetics practices, Lushair 2.0 combines high-resolution scalp imaging, multi-spectrum optical analysis, and AI-assisted interpretation to help professionals capture more objective hair and scalp data in a fast, visual, and patient-friendly way.

What Makes Lushair 2.0 Different

Compared with traditional scalp cameras or basic consultation tools, Lushair 2.0 is designed to support a more structured and data-driven clinical workflow.

Key Features

  • Multi-spectrum imaging for more comprehensive scalp observation
    (White light / Polarized light / UV-assisted visualization)

  • Auto-focus imaging system for faster and more stable capture

  • AI-assisted hair & scalp analysis with standardized output

  • Before-and-after treatment tracking for longitudinal patient management

  • Portable and easy-to-deploy format for clinics, hospitals, and medical partners

  • Cloud-based reporting capability for future integration and data expansion

Designed for Clinical Use Cases

Lushair 2.0 is especially suitable for healthcare and medical partners who want a more visual and standardized way to support:

  • Hair loss consultation

  • Scalp condition assessment

  • Treatment progress tracking

  • Patient communication and education

  • Adjunctive support for hair restoration / dermatology protocols

  • Clinical research exploration and pilot studies

This makes it a strong fit for:

  • Dermatology departments

  • Hair transplant clinics

  • Trichology practices

  • Medical aesthetics centers

  • Hospital innovation / digital health pilots

AI Analysis Parameters

Lushair 2.0 is designed to support analysis across multiple hair and scalp indicators, including:

  • Follicle Density

  • Follicle Activity

  • Follicle Diameter

  • Hair Density

  • Hair Diameter

  • Oil State

  • Redness State

  • Scurf State

  • Damage State

  • Keratinocytes Ratio

  • White Hair Ratio

  • Terminal Hair Ratio

  • Hair Loss Position

  • Hair Loss Stage

These outputs are intended to help provide a more consistent visual reference layer for clinicians and patients, rather than replacing physician diagnosis.
The original catalog also positions Lushair around 16 analysis parameters and a clinical-grade hair analysis protocol

Current Product Status

Hospital Partnership Sample Edition

This unit is not yet positioned as a final retail medical device package.
It is currently provided as a partnership sample version for selected hospitals and medical collaborators who are interested in:

  • evaluating the device in practice,

  • testing internal workflow compatibility,

  • exploring patient-facing use cases,

  • and discussing future collaboration opportunities.

Lushair 2.0 is our next-generation AI-powered hair and scalp analysis device, designed for clinical collaboration, patient education, and treatment tracking.
This version is currently offered as a hospital partnership sample unit, intended for pilot testing, workflow evaluation, and early-stage medical collaboration.

Built for dermatology clinics, hair restoration centers, hospitals, and medical aesthetics practices, Lushair 2.0 combines high-resolution scalp imaging, multi-spectrum optical analysis, and AI-assisted interpretation to help professionals capture more objective hair and scalp data in a fast, visual, and patient-friendly way.

What Makes Lushair 2.0 Different

Compared with traditional scalp cameras or basic consultation tools, Lushair 2.0 is designed to support a more structured and data-driven clinical workflow.

Key Features

  • Multi-spectrum imaging for more comprehensive scalp observation
    (White light / Polarized light / UV-assisted visualization)

  • Auto-focus imaging system for faster and more stable capture

  • AI-assisted hair & scalp analysis with standardized output

  • Before-and-after treatment tracking for longitudinal patient management

  • Portable and easy-to-deploy format for clinics, hospitals, and medical partners

  • Cloud-based reporting capability for future integration and data expansion

Designed for Clinical Use Cases

Lushair 2.0 is especially suitable for healthcare and medical partners who want a more visual and standardized way to support:

  • Hair loss consultation

  • Scalp condition assessment

  • Treatment progress tracking

  • Patient communication and education

  • Adjunctive support for hair restoration / dermatology protocols

  • Clinical research exploration and pilot studies

This makes it a strong fit for:

  • Dermatology departments

  • Hair transplant clinics

  • Trichology practices

  • Medical aesthetics centers

  • Hospital innovation / digital health pilots

AI Analysis Parameters

Lushair 2.0 is designed to support analysis across multiple hair and scalp indicators, including:

  • Follicle Density

  • Follicle Activity

  • Follicle Diameter

  • Hair Density

  • Hair Diameter

  • Oil State

  • Redness State

  • Scurf State

  • Damage State

  • Keratinocytes Ratio

  • White Hair Ratio

  • Terminal Hair Ratio

  • Hair Loss Position

  • Hair Loss Stage

These outputs are intended to help provide a more consistent visual reference layer for clinicians and patients, rather than replacing physician diagnosis.
The original catalog also positions Lushair around 16 analysis parameters and a clinical-grade hair analysis protocol

Current Product Status

Hospital Partnership Sample Edition

This unit is not yet positioned as a final retail medical device package.
It is currently provided as a partnership sample version for selected hospitals and medical collaborators who are interested in:

  • evaluating the device in practice,

  • testing internal workflow compatibility,

  • exploring patient-facing use cases,

  • and discussing future collaboration opportunities.