Last Posted: Jan 29, 2020
- Characterizing the Role of Dermatologists in Developing AI for Assessment of Skin Cancer: A Systematic Review.
Zakhem George A et al. Journal of the American Academy of Dermatology 2020 Jan - Liquid Biopsy: A Tool for the Diagnostic and Prognostic Evaluation of Cancers.
Stanciu Joshua et al. Clinical journal of oncology nursing 2020 Feb 24(1) 19-21 - Skin cancer diagnosis based on optimized convolutional neural network.
Zhang Ni et al. Artificial intelligence in medicine 2020 Jan 102101756 - What is AI? Applications of artificial intelligence to dermatology.
Du-Harpur X et al. The British journal of dermatology 2020 Jan - Parent and child perspectives on family interactions related to melanoma risk and prevention after CDKN2A/p16 testing of minor children.
Wu Yelena P et al. Journal of community genetics 2020 Jan - Molecular analysis of primary melanoma T cells identifies patients at risk for metastatic recurrence
Nature Cancer, January 20, 2020 - Detection of Malignant Melanoma Using Artificial Intelligence: An Observational Study of Diagnostic Accuracy.
Phillips Michael et al. Dermatology practical & conceptual 2020 10(1) e2020011 - Augmented Decision Making for Acral Lentiginous Melanoma Detection Using Deep Convolutional Neural Networks.
Lee S et al. Journal of the European Academy of Dermatology and Venereology : JEADV 2020 Jan - Six-gene-based prognostic model predicts overall survival in patients with uveal melanoma.
Wan Qi et al. Cancer biomarkers : section A of Disease markers 2019 Dec - Long-term overall survival and prognostic score predicting survival: the IMPACT study in precision medicine.
Tsimberidou Apostolia-Maria et al. Journal of hematology & oncology 2019 Dec 12(1) 145
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