Artificial Intelligence Applications in Dermatology: Where Do We Stand?

By Robert Gniadecki, Arieh Gomolin, Elena Netchiporouk, I. Litvinov

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Guang Yang
2. Qinghao Ye
3. Jun Xia
4. Cuntai Guan
5. Erico Tjoa
6. Fabien Lotte

Citations in the corpus

• A Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI (2019, background): “In [162], it is stated directly that being a black-box is a “strong limitation” for AI in dermatology, as it is not capable of performing customized assessment by certified dermatologist that can be used to explain clinical evidence.”
• Unbox the black-box for the medical explainable AI via multi-modal and multi-centre data fusion: A mini-review, two showcases and beyond (2021, background): “For example, research investigation has explicitly stated that being a black box is a ‘‘strong limitation’’ for AI in dermatology since it is not capable of doing a personalised evaluation by a qualified dermatologist that can be used to clarify clinical facts [116].”