Last Posted: Feb 06, 2020
- Psychosocial impact of prognostic genetic testing in uveal melanoma patients: a controlled prospective clinical observational study.
Lieb Marietta et al. BMC psychology 2020 Jan 8(1) 8 - Artificial intelligence and melanoma detection: friend or foe of dermatologists?
Charalambides Maria et al. British journal of hospital medicine (London, England : 2005) 2020 Jan 81(1) 1-5 - Artificial intelligence for melanoma diagnosis: how can we deliver on the promise?
Mar V J et al. Annals of oncology : official journal of the European Society for Medical Oncology 2019 Dec 30(12) e1-e3 - Genetic Profiling of Advanced Melanoma: Candidate Mutations for Predicting Sensitivity and Resistance to Targeted Therapy.
Olbryt Magdalena et al. Targeted oncology 2020 Jan - 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
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