Deep learning to estimate biological age from chest radiographs

VK Raghu, J Weiss, U Hoffmann, HJWL Aerts… - Cardiovascular …, 2021 - jacc.org
Biological age, a measure of overall health, may improve … to estimate biological age using
a convolutional neural network that takes as input a CXR image and outputs a chest x-ray age (…

AI analysis of chest radiographs as a biomarker of biological age

PS Babyn, SJ Adams - The Lancet Healthy Longevity, 2023 - thelancet.com
… uses for biological age estimation from chest radiography might be … Biological age might be
an easily understandable concept to … Biological age could also be used in risk calculators to …

Using deep neural networks for predicting age and sex in healthy adult chest radiographs

CY Yang, YJ Pan, Y Chou, CJ Yang, CC Kao… - Journal of Clinical …, 2021 - mdpi.com
… Despite research using chest radiograph-derived biological age estimates to successfully
predict longevity, long-term mortality, and cardiovascular risk [13,14,27], very few studies have …

Chest radiography as a biomarker of ageing: artificial intelligence-based, multi-institutional model development and validation in Japan

Y Mitsuyama, T Matsumoto, H Tatekawa… - The Lancet Healthy …, 2023 - thelancet.com
… Second, we did not compare our AI model with established biological age markers (eg,
frailty index and epigenetic clock). An early diagnosis of frailty is important to improve quality of …

Age prediction using a large chest x-ray dataset

A Karargyris, S Kashyap, JT Wu… - Medical Imaging …, 2019 - spiedigitallibrary.org
… in 55 chest radiographs that were obtained during routine autopsies. Age estimation was …
To our knowledge this is the first work that attempts to predict a patient’s biological age from …

Deep learning-based age estimation from chest CT scans

G Azarfar, SB Ko, SJ Adams, PS Babyn - International Journal of …, 2024 - Springer
… Medical imaging can be used to estimate a patient’s biological age, which may provide …
on chest radiographs. For this comparison, we extracted various characteristics, such as the …

Deep learning to estimate lung disease mortality from chest radiographs

J Weiss, VK Raghu, D Bontempi, DC Christiani… - Nature …, 2023 - nature.com
… Furthermore, the substitution of chronological age with the biological age captured by
CXR-Lung-Risk in existing risk calculators/predictors may provide more accurate decision support. …

Potential usefulness of biological fingerprints in chest radiographs for automated patient recognition and identification1

J Morishita, S Katsuragawa, Y Sasaki, K Doi - Academic radiology, 2004 - Elsevier
… as biological fingerprints in chest radiographs. Each of the biological fingerprints in a current
chest radiograph … the corresponding biological fingerprint in a previous chest radiograph for …

The deep learning algorithm estimates chest radiograph-based sex and age as independent risk factors for future cardiovascular outcomes

HC Liao, C Lin, CH Wang, WH Fang - Digital Health, 2023 - journals.sagepub.com
age established by DLM was revealed as a heart biological marker, we hypothesize that CXR
age … Therefore, we developed a DLM to predict sex and age through CXR and analyzed its …

Artificial Intelligence Assessment of Biological Age from Transthoracic Echocardiography: Discrepancies to Chronologic Age Predict Significant Excess Mortality

K Faierstein, M Fiman, R Loutati, N Rubin… - Journal of the American …, 2024 - Elsevier
… Heart age has been suggested as a 71 surrogate marker for cardiovascular biological
age.(… would be capable of estimating biological age and sex using standard transthoracic 81 …