Artificial Intelligence in the Diagnosis and Management of Skin Cancer

Early detection of skin cancer helps to bolster the survival rate to over 95%. To accomplish this, artificial intelligence-based methods are being developed to automate the analysis of images to facilitate early diagnosis of melanoma. In this episode we will explore how AI-powered decision support systems can be used in the timely diagnosis of skin cancer.

References:

  1. Melarkode N, Srinivasan K, Qaisar SM, Plawiak P. AI-Powered Diagnosis of Skin Cancer: A Contemporary Review, Open Challenges and Future Research Directions. Cancers (Basel). 2023;15(4):1183. Available at: https://www.mdpi.com/2072-6694/15/4/1183
  2. Diaz-Ramón JL, Gardeazabal J, Izu RM, Garrote E, Rasero J, Apraiz A, et al. Melanoma Clinical Decision Support System: An Artificial Intelligence-Based Tool to Diagnose and Predict Disease Outcome in Early-Stage Melanoma Patients. Cancers (Basel). 2023;15(7):2174. Available at: https://www.mdpi.com/2072-6694/15/7/2174
  3. Guerrisi A, Falcone I, Valenti F, Rao M, Gallo E, Ungania S, et al. Artificial Intelligence and Advanced Melanoma: Treatment Management Implications. Cells. 2022;11(24):3965. Available at: https://www.mdpi.com/2073-4409/11/24/3965
  4. Cozzolino C, Buja A, Rugge M, Miatton A, Zorzi M, Vecchiato A, et al. Machine learning to predict overall short-term mortality in cutaneous melanoma. Discov Oncol. 2023;14(1):13. Available at: https://viatris-coe.s3.eu-central-1.amazonaws.com/general/gr/general/DERMA_4_Machine_learning_to_predict_overall_short%E2%80%91term_mortality_in_cutaneous_melanoma.pdf
  5. Jones OT, Matin RN, van der Schaar M, Prathivadi Bhayankaram K, Ranmuthu CKI, Islam MS, et al. Artificial intelligence and machine learning algorithms for early detection of skin cancer in community and primary care settings: a systematic review. Lancet Digit Health. 2022;e466-e476. Available at: https://www.thelancet.com/journals/landig/article/PIIS2589-7500(22)00023-1/fulltext

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