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

RecruitingNAAges any - anyAllUniversity of Rochester
NCT07682831 on ClinicalTrials.gov ↗
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In plain words

What the trial is, and whether it could suit you

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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📋 Eligibility rules (as published)
Inclusion Criteria: * Punch, excisional or shave biopsy specimen Exclusion Criteria: * Biopsy indication includes melanoma or dysplastic/atypical nevus * Excision thickness of less than 1 mm * Excision longest dimension less than 2 mm * Excision performed as multiple pieces in a single specimen container
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What it tests

  • Two photon microscopy imaging
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Where

1 site
Rochester Dermatologic Surgery
Victor, United States
🤝 Taking part is your choice, and you can leave at any time. Only the trial team can confirm you are eligible — always decide together with your own doctor.
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