This paper is in the following e-collection/theme issue:

9th World Congress of Teledermatology, Imaging and AI for Skin Diseases - Abstracts (2021) (40)

Published on in Vol 8, No 1 (2022): Jan-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/36907, first published .
From Teledermatology to Dermatology Artificial Intelligence: Will Teledermatology Exist in the Next 2 Years?

From Teledermatology to Dermatology Artificial Intelligence: Will Teledermatology Exist in the Next 2 Years?

From Teledermatology to Dermatology Artificial Intelligence: Will Teledermatology Exist in the Next 2 Years?

Authors of this article:

Alexander Börve1, 2
Article Authors Cited by Tweetations Metrics

    Abstract

    1Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden

    2iDoc24 Inc, Berkeley, CA, United States

    Corresponding Author:

    Alexander Börve

    Sahlgrenska Academy

    University of Gothenburg

    Medicinaregatan 3

    Gothenburg, 413 90

    Sweden

    Phone: 46 317860000

    Email: alexander@idoc24.com


    Background: Dermatology has been proven to be well suited for store-and-forward telemedicine triaging. With the reduced cost of computer power and 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 taken with a smartphone camera and return reliable dermatology outputs within seconds.

    Objective: The aim of this study is to demonstrate the shift from teledermatology to dermatology AI.

    Methods: A literature search was conducted and experience from a web-based teledermatology service was also considered.

    Results: There has been a slow uptake of teledermatology in a clinical setting and by consumers. The development of AI dermatology models has gained momentum over the last few years. Studies have shown that AI dermatology is on par with teledermatology to deliver accurate diagnoses for the most common dermatology pathologies.

    Conclusions: Teledermatology has still not gained mass adoption, both clinically and directly by consumers. 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.

    Conflicts of Interest: AB is the owner of iDoc24 Inc.

    iproc 2022;8(1):e36907

    doi:10.2196/36907

    Keywords

    artificial intelligence; teledermatology; dermatology 

    Edited by T Derrick; This is a non–peer-reviewed article. submitted 28.01.22; accepted 28.01.22; published 08.03.22

    Copyright

    ©Alexander Börve. Originally published in Iproceedings (https://www.iproc.org), 08.03.2022.

    This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in Iproceedings, is properly cited. The complete bibliographic information, a link to the original publication on https://www.iproc.org/, as well as this copyright and license information must be included.