Retinal photograph-based deep learning predicts biological age, and stratifies morbidity and mortality risk

BACKGROUND: ageing is an important risk factor for a variety of human pathologies. Biological age (BA) may better capture ageing-related physiological changes compared with chronological age (CA). OBJECTIVE: we developed a deep learning (DL) algorithm to predict BA based on retinal photographs and e...

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Detalles Bibliográficos
Autores principales: Nusinovici, Simon, Rim, Tyler Hyungtaek, Yu, Marco, Lee, Geunyoung, Tham, Yih-Chung, Cheung, Ning, Chong, Crystal Chun Yuen, Da Soh, Zhi, Thakur, Sahil, Lee, Chan Joo, Sabanayagam, Charumathi, Lee, Byoung Kwon, Park, Sungha, Kim, Sung Soo, Kim, Hyeon Chang, Wong, Tien-Yin, Cheng, Ching-Yu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Research Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8973000/
https://www.ncbi.nlm.nih.gov/pubmed/35363255
http://dx.doi.org/10.1093/ageing/afac065

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8973000/
https://www.ncbi.nlm.nih.gov/pubmed/35363255
http://dx.doi.org/10.1093/ageing/afac065

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