10 min
AI for Dermatology AI for Health
-
- Technology
On this episode I discuss how AI has been leveraged for dermatological applications.
Application of AI in Skin Cancer
Mobile Applications for Skin Disease Screening
More Examples of Dermatological Applications of AI (ulcer assessment, psoriasis and other inflammatory skin diseases, skin-sensitization)
References:
De, Abhishek et al. “Use of Artificial Intelligence in Dermatology.” Indian journal of dermatology vol. 65,5 (2020): 352-357. doi:10.4103/ijd.IJD_418_20
Chan, Stephanie et al. “Machine Learning in Dermatology: Current Applications, Opportunities, and Limitations.” Dermatology and therapy vol. 10,3 (2020): 365-386. doi:10.1007/s13555-020-00372-0
Udrea, A et al. “Accuracy of a smartphone application for triage of skin lesions based on machine learning algorithms.” Journal of the European Academy of Dermatology and Venereology : JEADV vol. 34,3 (2020): 648-655. doi:10.1111/jdv.15935
Gomolin, Arieh et al. “Artificial Intelligence Applications in Dermatology: Where Do We Stand?.” Frontiers in medicine vol. 7 100. 31 Mar. 2020, doi:10.3389/fmed.2020.00100
Esteva, Andre et al. “Dermatologist-level classification of skin cancer with deep neural networks.” Nature vol. 542,7639 (2017): 115-118. doi:10.1038/nature21056
Emam, S et al. “Predicting the long-term outcomes of biologics in patients with psoriasis using machine learning.” The British journal of dermatology vol. 182,5 (2020): 1305-1307. doi:10.1111/bjd.18741
On this episode I discuss how AI has been leveraged for dermatological applications.
Application of AI in Skin Cancer
Mobile Applications for Skin Disease Screening
More Examples of Dermatological Applications of AI (ulcer assessment, psoriasis and other inflammatory skin diseases, skin-sensitization)
References:
De, Abhishek et al. “Use of Artificial Intelligence in Dermatology.” Indian journal of dermatology vol. 65,5 (2020): 352-357. doi:10.4103/ijd.IJD_418_20
Chan, Stephanie et al. “Machine Learning in Dermatology: Current Applications, Opportunities, and Limitations.” Dermatology and therapy vol. 10,3 (2020): 365-386. doi:10.1007/s13555-020-00372-0
Udrea, A et al. “Accuracy of a smartphone application for triage of skin lesions based on machine learning algorithms.” Journal of the European Academy of Dermatology and Venereology : JEADV vol. 34,3 (2020): 648-655. doi:10.1111/jdv.15935
Gomolin, Arieh et al. “Artificial Intelligence Applications in Dermatology: Where Do We Stand?.” Frontiers in medicine vol. 7 100. 31 Mar. 2020, doi:10.3389/fmed.2020.00100
Esteva, Andre et al. “Dermatologist-level classification of skin cancer with deep neural networks.” Nature vol. 542,7639 (2017): 115-118. doi:10.1038/nature21056
Emam, S et al. “Predicting the long-term outcomes of biologics in patients with psoriasis using machine learning.” The British journal of dermatology vol. 182,5 (2020): 1305-1307. doi:10.1111/bjd.18741
10 min