Machine Learning Analysis of Two-photon Fluorescence Microscopy of Dermatologic Biopsies

The goal of this study is to investigate the ability of a machine learning model to evaluate two-photon fluorescence microscopy images of dermatologic biopsies at point of care. The main question it aims to answer is: • How well do two-photon fluorescence images of biopsies taken in a clinic and evaluated by a machine learning model agree with conventional histology?

NCT Number	NCT07682831
Lead Sponsor	University of Rochester Collaborators: National Cancer Institute (NCI), Rochester Dermatologic Surgery
Conditions	Basal Cell Carcinoma of Skin, Squamous Cell Carcinoma (Skin)
Enrollment	92 participants
Start Date	2026-06-01
Primary Completion	2027-06-01 (estimated)
Study Completion	2027-07-01 (estimated)
Updated on ClinicalTrials.gov	2026-07-06