The goal of this observational study is to learn if a computer-aided diagnosis (CAD) system can help identify skin cancer (cutaneous melanoma). The research focuses on adults who have skin spots that a doctor thinks might be cancerous. The main questions the study aims to answer are: Can the artificial intelligence (AI) tool accurately identify melanoma in skin images? How does the tool's accuracy compare to the clinical judgment of expert skin doctors (dermatologists)? Researchers will compare the results from the AI tool to the final diagnosis made by doctors or through a skin biopsy. A biopsy is a medical test where a small piece of skin is removed and checked in a lab. Participants will: Have their skin spots photographed using a special camera attached to a smartphone. Allow researchers to use their clinical data and biopsy results for the study. The study does not change the medical care participants receive. Doctors will continue to treat participants as they normally would. By testing this tool, researchers hope to find a way to detect skin cancer earlier and more accurately
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Area Under the ROC Curve (AUC) for Melanoma Detection
Timeframe: At the time of the single clinical visit (Baseline).
Accuracy for Melanoma Detection
Timeframe: At the time of the single clinical visit (Baseline)
Sensitivity for Melanoma Detection
Timeframe: At the time of the single clinical visit (Baseline).
Specificity for Melanoma Detection
Timeframe: At the time of the single clinical visit (Baseline).