LMU Hospital
Maximilian Deußing
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.
Basal Cell Carcinoma
Ex vivo confocal microscopy
| Study Type : | OBSERVATIONAL |
| Estimated Enrollment : | 1000 participants |
| Official Title : | Intraoperative Confocal Laser Scanning Microscopy and Artificial Intelligence for Optimized Surgical Excision of Basal Cell Carcinoma |
| Actual Study Start Date : | 2025-01-01 |
| Estimated Primary Completion Date : | 2026-12-31 |
| Estimated Study Completion Date : | 2027-12-31 |
Information not available for Arms and Intervention/treatment
| Ages Eligible for Study: | |
| Sexes Eligible for Study: | ALL |
| Accepts Healthy Volunteers: |
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