Dermatology
AI-powered skin condition analysis
AI Dermatology Diagnostics
Revolutionize skin condition diagnosis with advanced computer vision, pattern recognition, and clinical decision support for dermatological conditions across all skin types.
Computer Vision Analysis
- ✓Melanoma Detection: Multi-layer CNN analysis with 98.1% sensitivity for malignant melanoma identification across all skin types
- ✓ABCDE Assessment: Automated evaluation of Asymmetry, Border, Color, Diameter, and Evolution with quantitative scoring
- ✓Dermoscopy Analysis: Pattern recognition for reticular, globular, homogeneous, and starburst patterns
- ✓Lesion Tracking: Temporal analysis of skin lesions with automated change detection and progression monitoring
Clinical Decision Support
- ✓Differential Diagnosis: AI-powered ranking of potential diagnoses with confidence scores and supporting evidence
- ✓Treatment Protocols: Evidence-based treatment recommendations from AAD guidelines and latest dermatology literature
- ✓Biopsy Guidance: Risk stratification and biopsy recommendations based on lesion characteristics
- ✓Follow-up Scheduling: Automated recommendations for monitoring intervals and surveillance protocols
Supported Dermatological Conditions
Malignant Lesions
- • Melanoma (all subtypes)
- • Basal Cell Carcinoma (BCC)
- • Squamous Cell Carcinoma (SCC)
- • Merkel Cell Carcinoma
- • Cutaneous Lymphoma
- • Kaposi's Sarcoma
Benign Lesions
- • Seborrheic Keratosis
- • Nevus (all types)
- • Solar Lentigo
- • Dermatofibroma
- • Lipoma
- • Hemangioma
Inflammatory Conditions
- • Psoriasis
- • Eczema/Dermatitis
- • Acne Vulgaris
- • Rosacea
- • Vitiligo
- • Hidradenitis Suppurativa
Infectious Diseases
- • Tinea (all types)
- • Candidiasis
- • Bacterial Infections
- • Viral Warts
- • Herpes Simplex/Zoster
- • Impetigo
Hair & Nail Disorders
- • Alopecia Areata
- • Androgenetic Alopecia
- • Onychomycosis
- • Nail Psoriasis
- • Paronychia
- • Trichothiodystrophy
Pediatric Dermatology
- • Atopic Dermatitis
- • Diaper Dermatitis
- • Birthmarks
- • Molluscum Contagiosum
- • Infantile Hemangioma
- • Cradle Cap
Dermatology Workflow Integration
Image Capture
High-resolution clinical photography with standardized lighting and positioning guides for optimal image quality
AI Analysis
Advanced computer vision algorithms analyze lesion morphology, color patterns, and texture features
Risk Assessment
Malignancy risk scoring with biopsy recommendations and urgency classification for clinical triage
Treatment Plan
Evidence-based treatment protocols with medication selection and follow-up scheduling recommendations
Clinical Case Study
Patient Presentation
Case: 45-year-old male with changing mole on back
History: 6-month evolution, asymmetric growth, color variation
Physical: 8mm irregular lesion with multiple colors
Challenge: Difficult clinical assessment, patient anxiety
SynThera AI Analysis
ABCDE Score: High-risk (4.2/5.0) for malignancy
Classification: 87% probability atypical nevus vs. early melanoma
Recommendation: Urgent excisional biopsy within 1 week
Outcome: Melanoma in situ, completely excised
Result: Early melanoma detection enabled complete surgical cure. AI analysis provided confidence for immediate biopsy decision and patient reassurance.
Advanced Technology Features
Skin Type Adaptation
- • Fitzpatrick skin type classification
- • Ethnicity-specific training datasets
- • Bias mitigation for darker skin tones
- • Cultural dermatology considerations
Real-time Processing
- • Sub-5 second analysis time
- • Edge computing optimization
- • Offline diagnostic capability
- • Mobile device compatibility
Enhance Your Dermatology Practice
Join dermatologists worldwide using SynThera's AI for accurate skin condition diagnosis. Improve patient outcomes with advanced computer vision and clinical decision support.