Machine Learning Analysis of Two-photon Fluorescence Microscopy of Dermatologic Biopsies
NCT: NCT07682831 · RECRUITING
Brief Summary
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?
Frequently Asked Questions
What is Machine Learning Analysis of Two-photon Fluorescence Microscopy of Dermatologic Biopsies?
Machine Learning Analysis of Two-photon Fluorescence Microscopy of Dermatologic Biopsies is a clinical trial registered under NCT07682831. Current status: RECRUITING.
What is the status of NCT07682831?
The current status of NCT07682831 (Machine Learning Analysis of Two-photon Fluorescence Microscopy of Dermatologic Biopsies) is: RECRUITING.
When did Machine Learning Analysis of Two-photon Fluorescence Microscopy of Dermatologic Biopsies start?
Machine Learning Analysis of Two-photon Fluorescence Microscopy of Dermatologic Biopsies started on 2026-06-24.
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Official Source
View on ClinicalTrials.gov →Data sourced from ClinicalTrials.gov API. For the most current status, refer to the official record.