Key Takeaways

• A leading UK healthcare chain partnered with Kortexity to develop an AI-driven skin disease detection tool using computer vision. 

• Leveraged deep learning to achieve 92% accuracy in detecting multiple skin conditions from images. 

• Reduced initial diagnosis time from days to seconds, enabling faster treatment and early intervention. 

• Developed a scalable AI solution for mobile and web platforms, making dermatological care more accessible. 

Background 

The dermatology sector faces major challenges in accessibility and efficiency, leading to delayed diagnoses and treatment. Key concerns include: 

• Extended wait times of over 30 days for dermatologist appointments, impacting patient outcomes. 

• Shortage of dermatologists, especially in rural areas, limiting healthcare access. 

• Reliance on visual inspection, making early diagnosis and tracking difficult. 

Problem Statement 

A UK-based healthcare chain identified major issues in dermatological care: 

Limited Access to Dermatologists 

• Long waiting periods for specialist consultations. 

• Delayed diagnosis, leading to advanced disease progression. 

Challenges in Skin Disease Diagnosis 

• Difficulty in prioritizing critical cases. 

• Lack of effective tools for tracking skin condition changes over time. 

• Need for an objective, AI-powered skin disease detection system. 

Technical Barriers 

• High accuracy requirements in automated skin disease identification. 

• Challenges in handling varied image quality, lighting conditions, and skin tones. 

Solution 

Kortexity developed an AI-powered skin disease detection solution using computer vision and deep learning: 

Advanced Deep Learning Architecture 

• Designed a custom Convolutional Neural Network (CNN) for skin disease classification. 

• Integrated attention mechanisms to enhance feature recognition in images. 

Data Security & Management 

• Built a secure database of labeled dermatological images. 

• Implemented privacy protocols for handling sensitive patient data. 

• Developed automated image quality checks to ensure high diagnostic accuracy. 

User-Friendly Mobile & Web Interface 

• Created an intuitive, mobile-first interface for AI-based skin condition analysis. 

• Developed real-time visualization tools to highlight affected areas in images. 

• Enabled progress tracking for patients and doctors. 

Seamless Clinical Integration 

• Integrated with Electronic Health Records (EHR) for streamlined patient data access. 

• Standardized AI-generated reports for medical professionals. 

Results & Impact 

The AI-powered skin disease detection tool significantly improved diagnostic accuracy and efficiency: 

Clinical Improvements 

• 92% accuracy in identifying common skin diseases from photographs. 

• Reduced diagnosis time from days to seconds, allowing faster treatment initiation. 

Operational Efficiency Gains 

• 50% reduction in administrative workload for dermatologists. 

• 90% patient satisfaction with the AI-driven diagnostic tool. 

Enhanced Accessibility to Dermatological Care 

• Enabled remote skin disease detection in 50+ underserved locations. 

• Provided 24/7 access to AI-based initial assessments, improving patient engagement. 

Cost Savings & Economic Benefits 

• 45% reduction in overall diagnostic costs. 

• Projected X annual savings for the healthcare network. 

Kortexity successfully leveraged AI and computer vision to create a highly accurate, automated skin disease detection system. This innovation improves diagnostic speed, reduces workload, and enhances dermatological care accessibility.