# Artificial Intelligence in Dermatology Image Analysis: Current Developments and Future Trends

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/artificial-intelligence-in-dermatology-image-analysis-current-developments-and/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Zhouxiao Li,Konstantin Christoph Koban,Thilo L. Schenck,Riccardo E. Giunta,Qingfeng Li,Yangbai Sun |
| Citations | 227 |
| DOI | 10.3390/jcm11226826 |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.mdpi.com/2077-0383/11/22/6826/pdf?version=1669297933 |
| OpenAlex ID | https://openalex.org/W4309737900 |
| PMID | 36431301 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Yangbai Sun](https://scholariq.org/researchers/yangbai-sun/)

## Paper journal

- [Journal of Clinical Medicine](https://scholariq.org/journals/journal-of-clinical-medicine/)

## 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/)
- [Digital Imaging in Medicine](https://scholariq.org/topics/digital-imaging-in-medicine/)
- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)

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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.