Milele Health

How Our AI Model Works

At Milele Health, we leverage cutting-edge Artificial Intelligence and Machine Learning (ML) technologies to analyze, detect, and deliver actionable insights for hair health. Our AI-driven bald spot detection system ensures precision and efficiency by blending computer vision, neural networks, and dermatological expertise.

Data Acquisition Illustration

1. Data Acquisition

The process begins with the user:

  • Image Upload: Users upload high-resolution images of their scalp.
  • Guidelines: Specific instructions ensure image consistency, such as uniform lighting and a focused scalp view.
  • Data Security: Images are encrypted using AES-256 standards and stored temporarily for analysis to maintain user privacy.

2. Image Preprocessing

To prepare the images for analysis, we implement a preprocessing pipeline:

  • Noise Reduction: Filters out background noise and irrelevant data using Gaussian Blur techniques.
  • Edge Detection: Employs algorithms like Canny Edge Detection to outline the scalp and hair boundaries.
  • Image Rescaling and Normalization: Ensures uniform resolution and intensity for consistent input across the model.
  • Scalp Region Segmentation: Implements semantic segmentation using Convolutional Neural Networks (CNNs), such as U-Net, to identify and isolate the scalp area from hair, skin, and background.
Image Preprocessing Illustration
Deep Learning Analysis Illustration

3. Deep Learning-Based Analysis

Our proprietary AI model is the core of the process:

  • Feature Extraction: Utilizes pretrained CNN architectures, such as ResNet or EfficientNet, to identify patterns related to bald spots and hair density.
  • Hair Density Analysis: Analyzes pixel intensity variations to calculate follicular density.
  • Detects bald regions using Object Detection models like YOLO (You Only Look Once)
  • Maps bald spot dimensions and location relative to the entire scalp area.

4. Insight Generation

Once the analysis is complete, the AI model generates a comprehensive report:

  • Visual Heatmaps: Displays affected areas and highlights thinning zones using Grad-CAM (Gradient-weighted Class Activation Mapping).
  • Hair Density Score: Number of follicles per square centimeter.
  • Bald Spot Severity Index: Scaled from 1 to 10 for treatment prioritization.
  • Suggests treatments (e.g., topical solutions, laser therapies).
  • Proposes lifestyle adjustments like dietary changes or stress management.
Insight Generation Illustration
Reinforcement Learning Illustration

5. Reinforcement Learning for Continuous Improvement

Our model evolves to become smarter with every analysis:

  • User Feedback Integration: Results are compared with user-provided feedback to refine model accuracy.
  • Data Augmentation: Uses new scalp images to train the model, expanding the dataset with synthetic variations to improve generalization.
  • Dynamic Adaptability: The AI learns from trends in scalp conditions and adapts its recommendations accordingly.

6. Progress Monitoring

Tracking improvements is key to effective hair health management:

  • Time-Series Analysis: Compares sequential images to monitor hair growth or treatment efficacy.
  • Delta Reports: Highlights changes in hair density, bald spot dimensions, and overall scalp health.
Progress Monitoring Illustration
Expert Consultation Illustration

7. Expert Consultation and Review

AI analysis is further validated by dermatologists and trichologists:

  • Human Oversight: Specialists review AI-generated reports to enhance reliability.
  • Customized Plans: Combines AI precision with expert insights to create holistic treatment plans.

Why Choose Our AI Model?

  • 1. Advanced Machine Learning Models: Built on TensorFlow and PyTorch frameworks for robust and scalable performance.
  • 2. Real-Time Processing: Inference times as low as 500ms ensure instant results.
  • 3. High Accuracy: Achieves over 95% precision in bald spot detection and 90% accuracy in density analysis.
  • 4. Privacy-First Design: Fully GDPR-compliant with end-to-end encryption.

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FAQs

Hair loss can have multiple causes, such as genetics, lifestyle, diet, or underlying health issues. Self-diagnosis often leads to incorrect treatment, wasting time and money. At Milele health, our experienced doctors provide a thorough diagnosis to ensure you receive the right treatment from the start.

During the consultation, our doctor will spend time understanding your hair concerns, explaining the possible causes, recommending lifestyle and diet changes, prescribing necessary medications, and discussing potential side effects. This ensures you are fully informed and equipped with a clear treatment plan.

You can book a consultation online through this link

At Milele Health, our doctors bring years of specialized experience in hair loss to every consultation, delivering diagnoses you can trust. We prioritize quality over quick fixes—carefully analyzing your hair and scalp via video call—so you get a clear answer.

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