Actively Recruiting
Intraoperative Confocal Laser Scanning Microscopy With Use of AI for Optimized Surgical Excision of Basal Cell Carcinoma
Led by LMU Klinikum · Updated on 2025-09-09
1000
Participants Needed
1
Research Sites
147 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
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.
CONDITIONS
Official Title
Intraoperative Confocal Laser Scanning Microscopy With Use of AI for Optimized Surgical Excision of Basal Cell Carcinoma
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Patients with Basal Cell Carcinoma
You will not qualify if you...
- Patient unable to consent
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 1 location
1
Clinic and Policlinic of Dermatology and Allergy, LMU Munich
Munich, Bavaria, Germany, 80337
Actively Recruiting
Research Team
M
Maximilian Deußing, Dr.
CONTACT
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
0
Not the Right Trial for You?
Explore thousands of other clinical trials that might be a better match.
Sign up to get personalized trial recommendations delivered to your inbox.
Already have an account? Log in here