Estimating apparent age using artificial intelligence: Quantifying the effect of blepharoplasty-Reference-Cited by-同舟云学术

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Estimating apparent age using artificial intelligence: Quantifying the effect of blepharoplasty

Published:2023-10 Issue: Volume:85 Page:336-343
ISSN:1748-6815
Container-title:Journal of Plastic, Reconstructive & Aesthetic Surgery
language:en
Short-container-title:Journal of Plastic, Reconstructive & Aesthetic Surgery

Author:

Goodyear Kendall^ORCID,Saffari Persiana S.,Esfandiari Mahtash,Baugh Samuel,Rootman Daniel B.,Karlin Justin N.

Publisher

Elsevier BV

Subject

Surgery

Reference16 articles.

1. Dermatologist-level classification of skin cancer with deep neural networks;Esteva;Nature,2017

2. Artificial intelligence algorithm improves radiologist performance in skeletal age assessment: a prospective multicenter randomized controlled trial;Eng;Radiology,2021

3. Optic disc classification by deep learning versus expert neuro-ophthalmologists;Biousse;Ann Neurol,2020

4. Age and sex estimation using artificial intelligence from standard 12-lead ECGs;Attia;Circ Arrhythmia Electrophysiol,2019

5. Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning;Poplin;Nat Biomed Eng,2018

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Applications of artificial intelligence in facial plastic and reconstructive surgery: a systematic review;Current Opinion in Otolaryngology & Head & Neck Surgery;2024-04-19

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