Deep learning to estimate lung disease mortality from chest radiographs.
Deep learning to estimate lung disease mortality from chest radiographs.
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DOI：
10.1038/s41467-023-37758-5
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发表时间：
2023-05-16
影响因子：
16.6
通讯作者：
Aerts, Hugo J. W. L.
中科院分区：
文献类型：
--
作者：
Weiss, Jakob;Raghu, Vineet K. K.;Bontempi, Dennis;Christiani, David C. C.;Mak, Raymond H. H.;Lu, Michael T. T.;Aerts, Hugo J. W. L.
Prevention and management of chronic lung diseases (asthma, lung cancer, etc.) are of great importance. While tests are available for reliable diagnosis, accurate identification of those who will develop severe morbidity/mortality is currently limited. Here, we developed a deep learning model, CXR Lung-Risk, to predict the risk of lung disease mortality from a chest x-ray. The model was trained using 147,497 x-ray images of 40,643 individuals and tested in three independent cohorts comprising 15,976 individuals. We found that CXR Lung-Risk showed a graded association with lung disease mortality after adjustment for risk factors, including age, smoking, and radiologic findings (Hazard ratios up to 11.86 [8.64–16.27]; p < 0.001). Adding CXR Lung-Risk to a multivariable model improved estimates of lung disease mortality in all cohorts. Our results demonstrate that deep learning can identify individuals at risk of lung disease mortality on easily obtainable x-rays, which may improve personalized prevention and treatment strategies. Risk assessment of lung disease mortality is currently limited. Here, authors show that deep learning can estimate lung disease mortality from a chest x-ray beyond risk factors, which may help to identify individuals at risk in screening and cancer populations.
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DOI：
10.1148/rg.2017160130
发表时间：
2017-03
期刊：
Radiographics : a review publication of the Radiological Society of North America, Inc
影响因子：
--
作者：
Erickson BJ;Korfiatis P;Akkus Z;Kline TL
通讯作者：
Kline TL
DOI：
10.1016/j.jaci.2020.10.003
发表时间：
2020-12
期刊：
The Journal of allergy and clinical immunology
影响因子：
--
作者：
Expert Panel Working Group of the National Heart, Lung, and Blood Institute (NHLBI) administered and coordinated National Asthma Education and Prevention Program Coordinating Committee (NAEPPCC);Cloutier MM;Baptist AP;Blake KV;Brooks EG;Bryant-Stephens T;DiMango E;Dixon AE;Elward KS;Hartert T;Krishnan JA;Lemanske RF Jr;Ouellette DR;Pace WD;Schatz M;Skolnik NS;Stout JW;Teach SJ;Umscheid CA;Walsh CG
通讯作者：
Walsh CG
影响因子：
19.7
作者：
Magudia, Kirti;Bridge, Christopher P.;Rosenthal, Michael H.
通讯作者：
Rosenthal, Michael H.
影响因子：
4.3
作者：
Halpern, MT;Stanford, RH;Borker, R
通讯作者：
Borker, R
影响因子：
8.3
作者：
Gould, Michael K.;Munoz-Plaza, Corrine E.;Shen, Ernest
通讯作者：
Shen, Ernest