Overview
Keratotic basal cell carcinoma (BCC) is a subtype of basal cell carcinoma, a common type of skin cancer. BCCs arise from the basal cells of the epidermis.Diagnosis
Artificial intelligence (AI) algorithms trained on dermoscopic and macroscopic clinical images show promise for diagnosing BCC.
AI models in a systematic review averaged 90% overall accuracy, 87% sensitivity, and 91% specificity for tumor detection 1.
Model performance has improved over time 1.
Limitations of current AI models include a paucity of external validation and limited representation of certain skin types 1.Management
No management strategies for keratotic basal cell carcinoma were discussed in the provided abstracts.Special Populations
No information regarding special populations was provided in the abstracts.Key Recommendations
Artificial intelligence shows potential for the diagnosis of basal cell carcinoma, with reported average accuracies of 90% 1. (Evidence: Moderate)
Further research should prioritize robustness in data reporting, inclusivity in data collection, and interdisciplinary collaboration for the development of effective AI tools for skin cancer diagnosis 1. (Evidence: Expert opinion)References
1 Jairath N, Pahalyants V, Shah R, Weed J, Carucci JA, Criscito MC. Artificial Intelligence in Dermatology: A Systematic Review of Its Applications in Melanoma and Keratinocyte Carcinoma Diagnosis. Dermatologic surgery : official publication for American Society for Dermatologic Surgery [et al.] 2024. link