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Intraoperative Confocal Laser Scanning Microscopy With Use of AI for Optimized Surgical Excision of Basal Cell Carcinoma

RECRUITINGSponsored by LMU Klinikum
Actively Recruiting
SponsorLMU Klinikum
Started2025-03-01
Est. completion2026-12-31
Eligibility
Healthy vol.Accepted
View on ClinicalTrials.gov →

NCT06600165

Summary

The aim is to use AI to assist surgeons in analyzing CLSM tissue slide images obtained during BCC surgeries with the aim to integrate it in real time. We plan to use AI to analyze CLSM images of BCCs and distinguish between tumor tissue, inflammatory tissue, and non-tumor/non-inflammatory tissue. This approach would provide surgeons with real-time feedback and automated image analysis, leading to a more targeted and efficient approach to tissue analysis. By improving the accuracy and speed of tissue analysis, our proposal could ultimately improve operative patient outcomes and benefit healthcare professionals.

Eligibility

Healthy volunteers accepted
Inclusion Criteria:

* Patients with Basal Cell Carcinoma

Exclusion Criteria:

* Patient unable to consent

Conditions2

Basal Cell CarcinomaCancer

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