# Artificial Intelligence in Dermatology—Where We Are and the Way to the Future: A Review

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/artificial-intelligence-in-dermatology-where-we-are-and-the-way-to-the-future-a/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Daniel T. Hogarty,John Su,Kevin Phan,Mohamed Attia,Mohammed Hossny,Saeid Nahavandi,P. Lenane,Fergal J. Moloney,Anousha Yazdabadi |
| Citations | 185 |
| DOI | 10.1007/s40257-019-00462-6 |
| Fields | Medicine |
| Open Access | true |
| OA Status | green |
| OA URL | https://figshare.com/articles/journal_contribution/Artificial_intelligence_in_dermatology_where_we_are_and_the_way_to_the_future_a_review/20748412 |
| OpenAlex ID | https://openalex.org/W2956154093 |
| PMID | 31278649 |
| Type | article |
| Year | 2019 |

## Paper authors

- [John Su](https://scholariq.org/researchers/john-su/)

## Paper primary topic

- [Cutaneous Melanoma Detection and Management](https://scholariq.org/topics/cutaneous-melanoma-detection-and-management/)

## Paper topics

- [Cutaneous Melanoma Detection and Management](https://scholariq.org/topics/cutaneous-melanoma-detection-and-management/)
- [Dermatology and Skin Diseases](https://scholariq.org/topics/dermatology-and-skin-diseases/)
- [Autoimmune Bullous Skin Diseases](https://scholariq.org/topics/autoimmune-bullous-skin-diseases/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.