Every AI tool on this platform is grounded in real clinical data — 23,000+ Mohs surgery cases, peer-reviewed research, and a decade of surgical outcomes from one of the highest-volume Mohs practices in the country.
As one of the highest-volume melanoma Mohs centers in the country (~300 cases/year), ADS generates significant outcomes data on slow Mohs for melanoma — a technique where Dr. Hocker excises the tumor, reads the pathology himself, and completes reconstruction in a single coordinated workflow.
With a 0.43% post-operative infection rate across 23,000+ cases — 5 to 20 times lower than published national benchmarks — Dr. Hocker's practice represents a dataset for studying what drives superior surgical outcomes.
Applying natural language processing and retrieval-augmented generation (RAG) to deliver evidence-based patient education that adapts to reading level, condition specificity, and clinical context.
Longitudinal tracking of recurrence rates across tumor types, anatomic locations, and reconstruction methods. A 0.32% ten-year recurrence rate provides a benchmark for precision surgery.
Dr. Hocker reads his own pathology during Mohs surgery — a rare capability enabled by his dermatopathology board certification. This eliminates the diagnostic relay between surgeon and pathologist, reducing turnaround time and communication errors.
Developing systems for generating medically accurate, PubMed-verified content optimized for AI search engines (Google AI Overviews, ChatGPT, Perplexity) — making expert dermatology information accessible at scale.
All statistics cited on this platform come from Dr. Hocker's own practice data or peer-reviewed published literature. No estimates, no approximations, no marketing fluff.
Our AI tools are trained on verified clinical data and published research. They are designed to make expert-level information accessible, not to practice medicine.
We show our sources, cite our data, and explain our methodology. If an AI tool generates an answer, you can trace it back to the clinical evidence that supports it.
Dr. Hocker welcomes research collaborations, physician referrals, and discussions about AI applications in dermatology.