Celi LA - Search Results

1

Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge.

Holste G, Zhou Y, Wang S, Jaiswal A, Lin M, Zhuge S, Yang Y, Kim D, Nguyen-Mau TH, Tran MT, Jeong J, Park W, Ryu J, Hong F, Verma A, Yamagishi Y, Kim C, Seo H, Kang M, Celi LA, Lu Z, Summers RM, Shih G, Wang Z, Peng Y. Holste G, et al. Among authors: celi la. ArXiv [Preprint]. 2024 Apr 1:arXiv:2310.16112v2. ArXiv. 2024. PMID: 37986726 Free PMC article. Preprint.

2

Enabling chronic obstructive pulmonary disease diagnosis through chest X-rays: A multi-site and multi-modality study.

Wang R, Chen LC, Moukheiber L, Seastedt KP, Moukheiber M, Moukheiber D, Zaiman Z, Moukheiber S, Litchman T, Trivedi H, Steinberg R, Gichoya JW, Kuo PC, Celi LA. Wang R, et al. Among authors: celi la. Int J Med Inform. 2023 Oct;178:105211. doi: 10.1016/j.ijmedinf.2023.105211. Epub 2023 Sep 2. Int J Med Inform. 2023. PMID: 37690225

3

BRAX, Brazilian labeled chest x-ray dataset.

Reis EP, de Paiva JPQ, da Silva MCB, Ribeiro GAS, Paiva VF, Bulgarelli L, Lee HMH, Santos PV, Brito VM, Amaral LTW, Beraldo GL, Haidar Filho JN, Teles GBS, Szarf G, Pollard T, Johnson AEW, Celi LA, Amaro E Jr. Reis EP, et al. Among authors: celi la. Sci Data. 2022 Aug 10;9(1):487. doi: 10.1038/s41597-022-01608-8. Sci Data. 2022. PMID: 35948551 Free PMC article.

4

Recalibration of deep learning models for abnormality detection in smartphone-captured chest radiograph.

Kuo PC, Tsai CC, López DM, Karargyris A, Pollard TJ, Johnson AEW, Celi LA. Kuo PC, et al. Among authors: celi la. NPJ Digit Med. 2021 Feb 15;4(1):25. doi: 10.1038/s41746-021-00393-9. NPJ Digit Med. 2021. PMID: 33589700 Free PMC article.

5

VAP risk index: Early prediction and hospital phenotyping of ventilator-associated pneumonia using machine learning.

Samadani A, Wang T, van Zon K, Celi LA. Samadani A, et al. Among authors: celi la. Artif Intell Med. 2023 Dec;146:102715. doi: 10.1016/j.artmed.2023.102715. Epub 2023 Nov 11. Artif Intell Med. 2023. PMID: 38042602

6

Assessing the potential of GPT-4 to perpetuate racial and gender biases in health care: a model evaluation study.

Zack T, Lehman E, Suzgun M, Rodriguez JA, Celi LA, Gichoya J, Jurafsky D, Szolovits P, Bates DW, Abdulnour RE, Butte AJ, Alsentzer E. Zack T, et al. Among authors: celi la. Lancet Digit Health. 2024 Jan;6(1):e12-e22. doi: 10.1016/S2589-7500(23)00225-X. Lancet Digit Health. 2024. PMID: 38123252 Free article.

7

An interpretable deep learning model for time-series electronic health records: Case study of delirium prediction in critical care.

Sheikhalishahi S, Bhattacharyya A, Celi LA, Osmani V. Sheikhalishahi S, et al. Among authors: celi la. Artif Intell Med. 2023 Oct;144:102659. doi: 10.1016/j.artmed.2023.102659. Epub 2023 Sep 14. Artif Intell Med. 2023. PMID: 37783541 Free article.

8

Feature selection and prediction of treatment failure in tuberculosis.

Sauer CM, Sasson D, Paik KE, McCague N, Celi LA, Sánchez Fernández I, Illigens BMW. Sauer CM, et al. Among authors: celi la. PLoS One. 2018 Nov 20;13(11):e0207491. doi: 10.1371/journal.pone.0207491. eCollection 2018. PLoS One. 2018. PMID: 30458029 Free PMC article.

9

"Yes, but will it work for my patients?" Driving clinically relevant research with benchmark datasets.

Panch T, Pollard TJ, Mattie H, Lindemer E, Keane PA, Celi LA. Panch T, et al. Among authors: celi la. NPJ Digit Med. 2020 Jun 19;3:87. doi: 10.1038/s41746-020-0295-6. eCollection 2020. NPJ Digit Med. 2020. PMID: 32577534 Free PMC article. Review.

10

A systematic review of federated learning applications for biomedical data.

Crowson MG, Moukheiber D, Arévalo AR, Lam BD, Mantena S, Rana A, Goss D, Bates DW, Celi LA. Crowson MG, et al. Among authors: celi la. PLOS Digit Health. 2022 May 19;1(5):e0000033. doi: 10.1371/journal.pdig.0000033. eCollection 2022 May. PLOS Digit Health. 2022. PMID: 36812504 Free PMC article.

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