Clinical Application of Artificial Intelligence for Non-melanoma Skin Cancer
Author:
Publisher
Springer Science and Business Media LLC
Subject
Pharmacology (medical),Oncology
Link
https://link.springer.com/content/pdf/10.1007/s11864-023-01065-4.pdf
Reference21 articles.
1. Hauser K, Kurz A, Haggenmüller S, et al. Explainable artificial intelligence in skin cancer recognition: a systematic review. Eur J Cancer. 2022;167:54–69. https://doi.org/10.1016/j.ejca.2022.02.025.
2. Hu W, Fang L, Ni R, Zhang H, Pan G. Changing trends in the disease burden of non-melanoma skin cancer globally from 1990 to 2019 and its predicted level in 25 years. BMC Cancer. 2022. https://doi.org/10.1186/s12885-022-09940-3.
3. Jiang A, Jefferson IS, Robinson SK, et al. Skin cancer discovery during total body skin examinations. International Journal of Women’s Dermatology. 2021;7:411–4. https://doi.org/10.1016/j.ijwd.2021.05.005.
4. Asseri AH, Alam MJ, Alzahrani F, et al. Toward the identification of natural antiviral drug candidates against Merkel cell polyomavirus: Computational Drug Design Approaches. Pharmaceuticals (Basel). 2022;15:501. https://doi.org/10.3390/ph15050501.
5. •• Felmingham C, MacNamara S, Cranwell W, et al. Improving skin cancer management with artificial intelligence (SMARTI): Protocol for a preintervention/postintervention trial of an artificial intelligence system used as a diagnostic aid for skin cancer management in a specialist dermatology setting. BMJ Open. 2022. https://doi.org/10.1136/bmjopen-2021-050203. (A discussion of the performance of AI models on diagnosis of skin cancer.)
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