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1.
Accelerating artificial intelligence: How federated learning can protect privacy, facilitate collaboration, and improve outcomes.
Health Informatics J
; 29(4): 14604582231207744, 2023.
Artículo
en Inglés
| MEDLINE | ID: mdl-37864543
2.
Key considerations for the use of artificial intelligence in healthcare and clinical research.
Future Healthc J
; 9(1): 75-78, 2022 Mar.
Artículo
en Inglés
| MEDLINE | ID: mdl-35372779
3.
Multi-population generalizability of a deep learning-based chest radiograph severity score for COVID-19.
Medicine (Baltimore)
; 101(29): e29587, 2022 Jul 22.
Artículo
en Inglés
| MEDLINE | ID: mdl-35866818
4.
Artificial intelligence matches subjective severity assessment of pneumonia for prediction of patient outcome and need for mechanical ventilation: a cohort study.
Sci Rep
; 11(1): 858, 2021 01 13.
Artículo
en Inglés
| MEDLINE | ID: mdl-33441578
5.
Deep metric learning-based image retrieval system for chest radiograph and its clinical applications in COVID-19.
Med Image Anal
; 70: 101993, 2021 05.
Artículo
en Inglés
| MEDLINE | ID: mdl-33711739
6.
A multi-center study of COVID-19 patient prognosis using deep learning-based CT image analysis and electronic health records.
Eur J Radiol
; 139: 109583, 2021 Jun.
Artículo
en Inglés
| MEDLINE | ID: mdl-33846041
7.
Federated learning for predicting clinical outcomes in patients with COVID-19.
Nat Med
; 27(10): 1735-1743, 2021 10.
Artículo
en Inglés
| MEDLINE | ID: mdl-34526699
8.
Federated Learning used for predicting outcomes in SARS-COV-2 patients.
Res Sq
; 2021 Jan 08.
Artículo
en Inglés
| MEDLINE | ID: mdl-33442676
9.
Improvement and Multi-Population Generalizability of a Deep Learning-Based Chest Radiograph Severity Score for COVID-19.
medRxiv
; 2020 Sep 18.
Artículo
en Inglés
| MEDLINE | ID: mdl-32995811
10.
Severity and Consolidation Quantification of COVID-19 From CT Images Using Deep Learning Based on Hybrid Weak Labels.
IEEE J Biomed Health Inform
; 24(12): 3529-3538, 2020 12.
Artículo
en Inglés
| MEDLINE | ID: mdl-33044938
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