The Clinician-Coder
A new paradigm in dermatology: the clinician as technology creator. Dr. Kaplan's research group explores how AI tools, from enterprise cloud platforms to locally-run open-source models, can empower the solo dermatologist to build, deploy, and maintain clinical AI systems independently.
Three narrative review papers exploring the full spectrum of AI deployment for the independent dermatologist
A practical review of HIPAA-compliant cloud AI platforms (Google Gemini, Azure OpenAI, AWS Bedrock, Anthropic Claude) for the independent dermatologist, with an illustrative framework for automated pathology report processing.
Local deployment of open-source language models on consumer hardware, including fine-tuning for dermoscopy and air-gapped operation for zero data egress.
AI-assisted software development by clinicians. A review of the emerging vibe coding paradigm with DermTemplates as an open-source illustrative implementation.
As part of our rapid diagnosis workflow, we integrate AIMEE (Artificial Intelligence for MElanoma Early detection) - an AI-powered dermoscopy analysis system that assists in real-time evaluation of suspicious skin lesions, supporting clinical decision-making alongside expert dermoscopic assessment.
Rapid Diagnosis serviceClinical tools built through AI-assisted development
An open-source, browser-based dermatology documentation system built entirely through vibe coding. Provides specialty-specific templates for clinic notes, procedure documentation, and patient communication - all running client-side with zero data transmission.
Try DermTemplatesA clinical decision support tool for Mohs micrographic surgery, currently in development. Optimizes surgical stage planning and reconstruction approach based on tumor type, defect size, anatomic location, and surgical technique parameters.
Mohs Surgery page“A physician who understands their digital tools can offer patients better, faster, and more personalized care.”
Dr. Yehonatan Kaplan