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

Conditions: Basal Cell Carcinoma

Sex: All

Healthy volunteers: No

Enrollment: 1000

Sponsor: LMU Klinikum

Location: Clinic and Policlinic of Dermatology and Allergy, LMU Munich Munich Bavaria

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 Criteria

Inclusion Criteria: * Patients with Basal Cell Carcinoma Exclusion Criteria: * Patient unable to consent

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View on ClinicalTrials.gov

Source: ClinicalTrials.gov (NCT06600165). StuddyBuddy aggregates publicly available trial information.