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Intraoperative Confocal Laser Scanning Microscopy and Artificial Intelligence for Optimized Surgical Excision of Basal Cell Carcinoma
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.
Age
All ages
Sex
ALL
Healthy Volunteers
No
Clinic and Policlinic of Dermatology and Allergy, LMU Munich
Munich, Bavaria, Germany
Start Date
March 1, 2025
Primary Completion Date
December 31, 2026
Completion Date
December 31, 2027
Last Updated
September 9, 2025
1,000
ESTIMATED participants
Ex vivo confocal microscopy
PROCEDURE
Lead Sponsor
LMU Klinikum
NCT07144384
NCT03050268
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