Helman S - Search Results

1

Machine learning for ECG diagnosis and risk stratification of occlusion myocardial infarction.

Al-Zaiti SS, Martin-Gill C, Zègre-Hemsey JK, Bouzid Z, Faramand Z, Alrawashdeh MO, Gregg RE, Helman S, Riek NT, Kraevsky-Phillips K, Clermont G, Akcakaya M, Sereika SM, Van Dam P, Smith SW, Birnbaum Y, Saba S, Sejdic E, Callaway CW. Al-Zaiti SS, et al. Among authors: helman s. Nat Med. 2023 Jul;29(7):1804-1813. doi: 10.1038/s41591-023-02396-3. Epub 2023 Jun 29. Nat Med. 2023. PMID: 37386246 Free PMC article.

2

Nursing Practice With Transthoracic Intracardiac Catheters in Children: International Benchmarking Study.

Lisanti AJ, Fitzgerald J, Helman S, Dean S, Sorbello A, Griffis H. Lisanti AJ, et al. Among authors: helman s. Am J Crit Care. 2019 May;28(3):174-181. doi: 10.4037/ajcc2019350. Am J Crit Care. 2019. PMID: 31043397 Free PMC article.

3

Just-in-Time Training for High-Risk Low-Volume Therapies: An Approach to Ensure Patient Safety.

Helman S, Lisanti AJ, Adams A, Field C, Davis KF. Helman S, et al. J Nurs Care Qual. 2016 Jan-Mar;31(1):33-9. doi: 10.1097/NCQ.0000000000000131. J Nurs Care Qual. 2016. PMID: 26035706

4

Quality Over Quantity: Standardization of Pediatric HeartWare Ventricular Assist Device Dressing Changes.

Difusco LA, Helman SM. Difusco LA, et al. ASAIO J. 2018 Nov/Dec;64(6):e181-e186. doi: 10.1097/MAT.0000000000000876. ASAIO J. 2018. PMID: 30234506 Free PMC article.

5

Novel ECG features and machine learning to optimize culprit lesion detection in patients with suspected acute coronary syndrome.

Bouzid Z, Faramand Z, Gregg RE, Helman S, Martin-Gill C, Saba S, Callaway C, Sejdić E, Al-Zaiti S. Bouzid Z, et al. Among authors: helman s. J Electrocardiol. 2021 Nov-Dec;69S:31-37. doi: 10.1016/j.jelectrocard.2021.07.012. Epub 2021 Jul 23. J Electrocardiol. 2021. PMID: 34332752 Free PMC article.

6

Performance and limitations of automated ECG interpretation statements in patients with suspected acute coronary syndrome.

Faramand Z, Helman S, Ahmad A, Martin-Gill C, Callaway C, Saba S, Gregg RE, Wang J, Al-Zaiti S. Faramand Z, et al. Among authors: helman s. J Electrocardiol. 2021 Nov-Dec;69S:45-50. doi: 10.1016/j.jelectrocard.2021.08.014. Epub 2021 Aug 18. J Electrocardiol. 2021. PMID: 34465465 Free PMC article.

7

The role of machine learning applications in diagnosing and assessing critical and non-critical CHD: a scoping review.

Helman SM, Herrup EA, Christopher AB, Al-Zaiti SS. Helman SM, et al. Cardiol Young. 2021 Nov;31(11):1770-1780. doi: 10.1017/S1047951121004212. Epub 2021 Nov 2. Cardiol Young. 2021. PMID: 34725005 Free PMC article. Review.

8

Your neighborhood matters: A machine-learning approach to the geospatial and social determinants of health in 9-1-1 activated chest pain.

Faramand Z, Alrawashdeh M, Helman S, Bouzid Z, Martin-Gill C, Callaway C, Al-Zaiti S. Faramand Z, et al. Among authors: helman s. Res Nurs Health. 2022 Apr;45(2):230-239. doi: 10.1002/nur.22199. Epub 2021 Nov 24. Res Nurs Health. 2022. PMID: 34820853 Free PMC article.

9

Engaging clinicians early during the development of a graphical user display of an intelligent alerting system at the bedside.

Helman S, Terry MA, Pellathy T, Williams A, Dubrawski A, Clermont G, Pinsky MR, Al-Zaiti S, Hravnak M. Helman S, et al. Int J Med Inform. 2022 Mar;159:104643. doi: 10.1016/j.ijmedinf.2021.104643. Epub 2021 Nov 11. Int J Med Inform. 2022. PMID: 34973608 Free PMC article.

10

Engaging Multidisciplinary Clinical Users in the Design of an Artificial Intelligence-Powered Graphical User Interface for Intensive Care Unit Instability Decision Support.

Helman S, Terry MA, Pellathy T, Hravnak M, George E, Al-Zaiti S, Clermont G. Helman S, et al. Appl Clin Inform. 2023 Aug;14(4):789-802. doi: 10.1055/s-0043-1775565. Epub 2023 Oct 4. Appl Clin Inform. 2023. PMID: 37793618 Free PMC article.

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