Dermatology AI.
Redefined.

How Clinicians Actually Work

Standard AI models expect a single, perfectly framed image. But in real tele-dermatology, patients submit multiple photos of varying quality, angles, and lighting.

PelliScope solves this. We implemented an Attention-Based Multi-Instance Learning (MIL) architecture. The neural network learns to "look" at all 3 photos simultaneously, paying the highest attention to the clearest diagnostic features—exactly how a human doctor evaluates a case.

• Outperforms generic LLMs (GPT-4V, Gemini Pro) in specialized differential diagnosis.
• Designed specifically for GCC and US Telemedicine workflows.
• Pre-consultation triage to reduce clinician fatigue.