# Assessment of Accuracy of an Artificial Intelligence Algorithm to Detect Melanoma in Images of Skin Lesions

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/assessment-of-accuracy-of-an-artificial-intelligence-algorithm-to-detect/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Michael Phillips,Helen Marsden,W. Jaffe,Rubeta Matin,G.N. Wali,Jack Greenhalgh,Emily McGrath,Rob S. James,Evmorfia Ladoyanni,Anthony Bewley,Giuseppe Argenziano,Ioulios Palamaras |
| Citations | 227 |
| DOI | 10.1001/jamanetworkopen.2019.13436 |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://jamanetwork.com/journals/jamanetworkopen/articlepdf/2752995/phillips_2019_oi_190513.pdf |
| OpenAlex ID | https://openalex.org/W2980349812 |
| PMID | 31617929 |
| Type | article |
| Year | 2019 |

## Paper authors

- [Anthony Bewley](https://scholariq.org/researchers/anthony-bewley/)

## Paper journal

- [JAMA Network Open](https://scholariq.org/journals/jama-network-open/)

## 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/)
- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)
- [Artificial Intelligence in Healthcare and Education](https://scholariq.org/topics/artificial-intelligence-in-healthcare-and-education/)

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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.