Fong CT - Search Results

1

Forecasting a Crisis: Machine-Learning Models Predict Occurrence of Intraoperative Bradycardia Associated With Hypotension.

Solomon SC, Saxena RC, Neradilek MB, Hau V, Fong CT, Lang JD, Posner KL, Nair BG. Solomon SC, et al. Among authors: fong ct. Anesth Analg. 2020 May;130(5):1201-1210. doi: 10.1213/ANE.0000000000004636. Anesth Analg. 2020. PMID: 32287127

2

Patient characteristics and critical care workflow affect paging frequency in neurocritical care.

Lele AV, Qiu Q, Gorbachov S, Fong C, Nair BG, Blissitt P, Marsh R, Chaikittisilpa N, Krishnamoorthy V, Vavilala MS. Lele AV, et al. J Clin Neurosci. 2019 Mar;61:66-72. doi: 10.1016/j.jocn.2018.10.144. Epub 2018 Nov 16. J Clin Neurosci. 2019. PMID: 30455134

3

Improving Operating Room Efficiency: Machine Learning Approach to Predict Case-Time Duration.

Bartek MA, Saxena RC, Solomon S, Fong CT, Behara LD, Venigandla R, Velagapudi K, Lang JD, Nair BG. Bartek MA, et al. Among authors: fong ct. J Am Coll Surg. 2019 Oct;229(4):346-354.e3. doi: 10.1016/j.jamcollsurg.2019.05.029. Epub 2019 Jul 13. J Am Coll Surg. 2019. PMID: 31310851 Free PMC article.

4

Does Attending Surgeon Presence at the Preinduction Briefing Improve Operating Room Efficiency?

Saxena RC, Whipple ME, Neradilek MB, Solomon S, Fong CT, Nair BG, Lang JD. Saxena RC, et al. Among authors: fong ct. Otolaryngol Head Neck Surg. 2019 Nov;161(5):787-795. doi: 10.1177/0194599819864319. Epub 2019 Jul 23. Otolaryngol Head Neck Surg. 2019. PMID: 31335269

5

Hyper-G: An Artificial Intelligence Tool for Optimal Decision-Making and Management of Blood Glucose Levels in Surgery Patients.

Nair AA, Velagapudi M, Behara L, Venigandla R, Fong CT, Horibe M, Nair BG. Nair AA, et al. Among authors: fong ct. Methods Inf Med. 2019 Sep;58(2-03):79-85. doi: 10.1055/s-0039-1693731. Epub 2019 Aug 9. Methods Inf Med. 2019. PMID: 31398727

6

Accurately Predicting Case-Time Duration: In reply to Dexter and Epstein.

Bartek MA, Saxena RC, Solomon S, Fong CT, Lang JD, Nair BG, Behara LD, Venigandla R, Velagapudi K. Bartek MA, et al. Among authors: fong ct. J Am Coll Surg. 2019 Dec;229(6):634-635. doi: 10.1016/j.jamcollsurg.2019.09.005. J Am Coll Surg. 2019. PMID: 31767058 No abstract available.

7

Anesthetic Management of Brain-dead Adult and Pediatric Organ Donors: The Harborview Medical Center Experience.

Lele AV, Nair BG, Fong C, Walters AM, Souter MJ. Lele AV, et al. J Neurosurg Anesthesiol. 2022 Jan 1;34(1):e34-e39. doi: 10.1097/ANA.0000000000000683. J Neurosurg Anesthesiol. 2022. PMID: 32149890

8

Machine learning approach to predict postoperative opioid requirements in ambulatory surgery patients.

Nair AA, Velagapudi MA, Lang JA, Behara L, Venigandla R, Velagapudi N, Fong CT, Horibe M, Lang JD, Nair BG. Nair AA, et al. Among authors: fong ct. PLoS One. 2020 Jul 31;15(7):e0236833. doi: 10.1371/journal.pone.0236833. eCollection 2020. PLoS One. 2020. PMID: 32735604 Free PMC article.

9

Intraoperative prediction of postanaesthesia care unit hypotension.

Palla K, Hyland SL, Posner K, Ghosh P, Nair B, Bristow M, Paleva Y, Williams B, Fong C, Van Cleve W, Long DR, Pauldine R, O'Hara K, Takeda K, Vavilala MS. Palla K, et al. Br J Anaesth. 2022 Apr;128(4):623-635. doi: 10.1016/j.bja.2021.10.052. Epub 2021 Dec 17. Br J Anaesth. 2022. PMID: 34924175 Free PMC article.

10

Liver Fibrosis Marker and Postoperative Mortality in Patients Without Overt Liver Disease.

Zelber-Sagi S, O'Reilly-Shah VN, Fong C, Ivancovsky-Wajcman D, Reed MJ, Bentov I. Zelber-Sagi S, et al. Anesth Analg. 2022 Nov 1;135(5):957-966. doi: 10.1213/ANE.0000000000006044. Epub 2022 Apr 13. Anesth Analg. 2022. PMID: 35417420

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