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?
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A starting point for the conversation — always confirm anything about your own eligibility, costs, and care with the study team and your doctor.
Sensitivity of Machine Learning Analysis of Two Photon Fluorescence Microscopy Images At Point of Care
Timeframe: During or immediately following patient biopsy (same day)
Specificity of Machine Learning Analysis of Two Photon Fluorescence Microscopy Images At Point of Care
Timeframe: During or immediately following patient biopsy (same day)