From Teledermatology to Dermatology Artificial Intelligence, Will Teledermatology Exist in the Next 2 Years?
ABSTRACT
Background:
Dermatology has been proven to be well suited for store and forward telemedicine triaging. With the reduced cost of computer power, readily available deep convolutional neural networks; using the digital images collected with store and forward, machine learning has made it possible to create artificial intelligence (AI) models. The AI models can analyze new digital images in dermatology taken with a smartphone camera and return reliable dermatology outputs within seconds.
Objective:
To demonstrate the shift from teledermatology to dermatology AI.
Methods:
Literature search and experience from an online teledermatology service.
Results:
There has been a slow uptake of teledermatology in a clinical setting and direct to consumer. Developing AI dermatology models has gained momentum over the last few years. Studies have shown that AI dermatology is on par with teledermatology to deliver correct answers on the most common dermatology pathologies.
Conclusions:
Teledermatology has still not gained mass adoption, both clinically and direct to the layman (consumer). The fast pace of AI dermatology development indicates that the technology will surpass store and forward teledermatology as a first point of digital consultation in dermatology.
Citation
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Copyright
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