Intraoperative Confocal Laser Scanning Microscopy and Artificial Intelligence for Optimized Surgical Excision of Basal Cell Carcinoma
Status: Recruiting
Location: See location...
Intervention Type: Procedure
Study Type: Observational
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
Participation Requirements
Sex: All
Healthy Volunteers: f
View:
• Patients with Basal Cell Carcinoma
Locations
Other Locations
Germany
Clinic and Policlinic of Dermatology and Allergy, LMU Munich
RECRUITING
Munich
Contact Information
Primary
Maximilian Deußing, Dr.
maximilian.deussing@med.uni-muenchen.de
+4989440056010
Time Frame
Start Date: 2025-03-01
Estimated Completion Date: 2027-12-31
Participants
Target number of participants: 1000
Related Therapeutic Areas
Sponsors
Leads: LMU Klinikum