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An Outperforming Artificial Intelligence Model to Identify Referable Blepharoptosis for General Practitioners
The aim of this study is to develop an AI model that accurately identifies referable blepharoptosis automatically and to compare the AI model’s performance to a group of non-ophthalmic physicians. In total, 1000 retrospective single-eye images from tertiary oculoplastic clinics were labeled by three...
| Autores principales: | , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8877622/ https://www.ncbi.nlm.nih.gov/pubmed/35207771 http://dx.doi.org/10.3390/jpm12020283 |