What is the name of your organization?
DermaTrack
What is the name of your solution?
DermaTrack
Provide a one-line summary or tagline for your solution.
ML-powered platform for skin disease diagnosis and EHR generation, optimizing time and resources while overcoming location barriers.
In what city, town, or region is your solution team headquartered?
Jaipur, Rajasthan, India
In what country is your solution team headquartered?
India
What type of organization is your solution team?
Hybrid of for-profit and nonprofit
Film your elevator pitch.
What specific problem are you solving?
Over 1.9 billion people worldwide suffer from skin diseases, with the highest burden in low and middle-income countries lacking access to specialists (WHO, 2023). In India, there are only around 9.5 dermatologists per million people, mostly in cities, leaving rural areas, home to over 80% of the population largely without care (IJDVL, 2023). Nigeria has roughly 1 dermatologist per 850,000 people, primarily in urban centres (IJDV, 2023). Even the U.S., with 3.66 dermatologists per 100,000, faces rural shortages (Journal of the American Academy of Dermatology , 2023).
This gap results in delayed or incorrect diagnosis of non-cancerous conditions like scabies, eczema, fungal and bacterial infections leading to chronic illness, pain, infections, and social stigma. Addressing this isn’t simple: dermatology requires years of training, expensive diagnostic tools, and infrastructure rarely available in remote areas. Existing specialists face overwhelming patient volumes and lose time to paperwork due to limited digital support.
AI-powered platforms offering automated pre-screening and EHR generation can ease this burden, enabling accurate triage, faster diagnosis, and better reach across underserved areas. Such solutions are critical to bridging the global gap in dermatological care.
What is your solution?
DermaTrack is an AI-powered dermatology assistant designed to streamline the workflow of dermatologists and reduce consultation time for patients. It automates two critical functions: updating Electronic Health Records (EHRs) and analyzing skin images for accurate, consistent diagnosis. At its core, DermaTrack uses self-supervised learning (SimCLR), allowing it to learn from limited labeled data—making it scalable and adaptable for diverse skin types. The platform includes a high-accuracy eczema detection model (~98%) and uses trigonometry-based image standardization to ensure uniformity in lighting, angle, and distance, which improves diagnostic consistency over time. Additionally, it integrates Whisper, a speech-to-text AI, to transcribe patient-doctor conversations in real time and auto-fill structured EHR fields, significantly reducing manual documentation. Currently, we are also working on AI-driven features like severity grading for skin conditions, smart question suggestions to aid diagnosis, and expansion into diseases such as psoriasis and rosacea. With future plans to integrate telemedicine, DermaTrack is built to support dermatologists, not replace them—making dermatological care faster, more accurate, and more accessible, especially in regions with limited specialist availability.
Who does your solution serve, and in what ways will the solution impact their lives?
DermaTrack directly serves **dermatologists and patients in developing countries**, where access to specialized skin care is extremely limited. In countries like India and Nigeria, rural areas—home to the majority of the population—face a severe shortage of dermatologists, with ratios as low as **1 dermatologist per 850,000 people**. As a result, patients often suffer from undiagnosed or mistreated skin conditions such as eczema, scabies, fungal infections, and dermatitis, which can lead to chronic discomfort, infections, and social stigma.
DermaTrack addresses these gaps by **automating key parts of the dermatology workflow**, including diagnosis support and EHR documentation. For patients, this means **faster and more accurate care**, even in remote or resource-limited settings. For dermatologists, DermaTrack **reduces administrative burden**, allowing them to spend more time with each patient and manage higher volumes without compromising quality.
By integrating AI for **image analysis, transcription, and risk grading**, DermaTrack bridges the care gap between urban and rural populations. It enables early intervention, reduces diagnostic errors, and brings specialist-grade support to underserved communities—**improving both access and quality of care** in a sustainable, scalable way.
