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.
Between clinical challenges and therapeutic opportunities
Artificial intelligence poses profound questions for medicine — about patient privacy, trust in clinical processes, and the boundaries of automation. Yet it is precisely the physician who understands these tools from within who can harness them for the patient's benefit, without compromising clinical judgment.
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 DermTools as an open-source illustrative implementation.
As part of our rapid diagnosis workflow, we integrate AIMEE (Artificial Intelligence for Mole Evaluation and Examination) - 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 serviceThe digital toolkit for dermatologists. 269 clinical templates, a diagnostic wizard, 8 dermoscopic algorithms, 22+ score calculators, 190+ review articles, drug databases, patient education sheets, ICD-10 codes, and more - all running client-side with zero data transmission.
Try DermToolsA clinical decision support wizard for Mohs surgery. Step-by-step case analysis, risk level assessment, stage prediction, and tailored reconstruction planning.
Try OptiMohsAn interactive clinical encyclopedia for Mohs micrographic surgery. Comprehensive surgical techniques database, defect calculator, risk level assessment, reconstruction planner, and clinical references.
Visit MohsPediaAn automated system for processing dermatological pathology reports, matching clinical and dermoscopic images to histopathological findings, and streamlining treatment decisions — including direct patient communication.
Visit PathCorrelateA practical guide for physicians on using Claude AI in medical practice. Covers 7 clinical domains — diagnosis, documentation, research, patient communication, clinic management, medical marketing, and privacy. Includes ready-made prompts, courses, and privacy-first protocols.
Visit CludeAIA real-time Mohs surgery day management dashboard. Tracks surgical stages from patient arrival to discharge, manages multiple lesions with sub-numbering, documents diagnoses, tracks lab specimens, and provides a visual Kanban interface for orchestrating patient flow.
“A physician who understands their digital tools can offer patients better, faster, and more personalized care.”
Dr. Yehonatan Kaplan