Welcome to AIIusion, a research organization dedicated to advancing comprehensive dermatological diagnosis through cutting-edge artificial intelligence and computer vision technologies. We focus on the entire spectrum of skin diseases, from common inflammatory conditions to complex rare disorders.
We're democratizing access to dermatological expertise by developing accurate AI models for detection, classification, and monitoring of all dermatological conditions. Our work bridges the gap between artificial intelligence research and comprehensive clinical dermatology practice, making specialized skin disease diagnosis accessible worldwide.
- π‘οΈ Inflammatory Disorders: Eczema, psoriasis, dermatitis, and autoimmune skin conditions
- π¦ Infectious Diseases: Fungal, bacterial, viral, and parasitic skin infections
- π¨ Pigmentary Disorders: Vitiligo, melasma, hyperpigmentation, and depigmentation conditions
- β‘ Acute Skin Reactions: Drug reactions, allergic responses, and emergency dermatology
- π Neoplastic Conditions: Both benign and malignant skin lesions
- π± Mobile Diagnostics: Point-of-care AI solutions for primary healthcare settings
- π Longitudinal Monitoring: Disease progression tracking and treatment response analysis
- 𧬠Multi-modal Analysis: Integration of clinical images, dermoscopy, and patient history
- π Browse our contribution guidelines
- π Explore our curated datasets catalog
- ποΈ Check out our model architectures
- π§ͺ Review our research methodology
- π§ Contribute to our computational infrastructure and tooling
- π± Help build mobile applications for clinical deployment
- β‘ Optimize AI models for edge computing and real-world usage
- π Develop APIs and integration solutions for healthcare systems
- π Main Documentation - Complete research overview and organizational information
- π§ͺ Research Methodology - Our scientific approach and experimental protocols
- π Datasets Catalog - Comprehensive dermatological dataset collections
- π€ Model Architectures - AI/ML implementations for various skin conditions
- π Contributing Guide - How to join our research community
- π¬ Comprehensive Approach: Covering the full spectrum of dermatological conditions, not just cancer
- π₯ Clinical Integration: Direct collaboration with dermatologists across diverse healthcare settings
- π Global Accessibility: Open science approach making dermatological AI accessible worldwide
- π Evidence-Based: Rigorous scientific methodology with peer-reviewed research standards
- π€ Multidisciplinary: Team of AI researchers, dermatologists, data scientists, and clinical experts
- βοΈ Ethical Leadership: Pioneering responsible AI practices in medical applications
- π― Multi-condition Classification: Advanced AI models covering 50+ dermatological conditions
- π± Mobile Deployment: Successful pilot programs in underserved healthcare regions
- ποΈ Dataset Expansion: Curated diverse, representative datasets across skin types and conditions
- π§ Standardized Frameworks: Developed evaluation protocols for dermatological AI systems
- π International Collaboration: Partnerships with dermatology institutions across 15+ countries
- π Clinical Validation: Ongoing studies demonstrating real-world diagnostic accuracy improvements
π‘ Interested in collaborating? Check out our research opportunities and join our mission to revolutionize comprehensive dermatological diagnosis through AI!
All research is conducted with the highest ethical standards and in compliance with medical data protection regulations. Our AI models are designed to assist healthcare professionals across all dermatological specialties and should not replace professional medical diagnosis.