Chest radiography as a biomarker of ageing: artificial intelligence-based, multi-institutional model development and validation in Japan-Reference-Cited by-同舟云学术

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

Published:2023-09 Issue:9 Volume:4 Page:e478-e486
ISSN:2666-7568
Container-title:The Lancet Healthy Longevity
language:en
Short-container-title:The Lancet Healthy Longevity

Author:

Mitsuyama Yasuhito,Matsumoto Toshimasa,Tatekawa Hiroyuki,Walston Shannon L,Kimura Tatsuo,Yamamoto Akira,Watanabe Toshio,Miki Yukio,Ueda Daiju

Publisher

Elsevier BV

Subject

Family Practice,Psychiatry and Mental health,Geriatrics and Gerontology,Health (social science)

Reference35 articles.

1. Invited review: theories of aging;Weinert;J Appl Physiol,2003

2. Aging biomarkers and the brain;Higgins-Chen;Semin Cell Dev Biol,2021

3. Biological age predictors;Jylhävä;EBioMedicine,2017

4. Biomarkers of aging: from function to molecular biology;Wagner;Nutrients,2016

5. Radiologic and nuclear medicine studies in the United States and worldwide: frequency, radiation dose, and comparison with other radiation sources—1950–2007;Mettler;Radiology,2009

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2. Chest Radiographs as Biological Clocks: Implications for Risk Stratification and Personalized Care;Radiology: Artificial Intelligence;2024-09-01

3. Data set terminology of deep learning in medicine: a historical review and recommendation;Japanese Journal of Radiology;2024-06-10

4. Climate change and artificial intelligence in healthcare: Review and recommendations towards a sustainable future;Diagnostic and Interventional Imaging;2024-06

5. Advancing Liver Disease Sarcopenia Prediction: A Chest- Radiograph–Based Model for Older Adults;2024-01-03

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