Ross E - Search Results

1

The potential of chatbots in chronic venous disease patient management.

Athavale A, Baier J, Ross E, Fukaya E. Athavale A, et al. Among authors: ross e. JVS Vasc Insights. 2023;1:100019. doi: 10.1016/j.jvsvi.2023.100019. Epub 2023 Jun 19. JVS Vasc Insights. 2023. PMID: 37701430 Free PMC article.

2

US National Trends in Vascular Surgical Practice During the COVID-19 Pandemic.

Ho VT, Eberhard AV, Asch SM, Leeper NJ, Fukaya E, Arya S, Ross EG. Ho VT, et al. Among authors: ross eg. JAMA Surg. 2021 Apr 15;156(7):681-3. doi: 10.1001/jamasurg.2021.1708. Online ahead of print. JAMA Surg. 2021. PMID: 33856428 Free PMC article.

3

Leveraging Machine Learning and Artificial Intelligence to Improve Peripheral Artery Disease Detection, Treatment, and Outcomes.

Flores AM, Demsas F, Leeper NJ, Ross EG. Flores AM, et al. Circ Res. 2021 Jun 11;128(12):1833-1850. doi: 10.1161/CIRCRESAHA.121.318224. Epub 2021 Jun 10. Circ Res. 2021. PMID: 34110911 Free PMC article. Review.

4

Use of Multi-Modal Data and Machine Learning to Improve Cardiovascular Disease Care.

Amal S, Safarnejad L, Omiye JA, Ghanzouri I, Cabot JH, Ross EG. Amal S, et al. Front Cardiovasc Med. 2022 Apr 27;9:840262. doi: 10.3389/fcvm.2022.840262. eCollection 2022. Front Cardiovasc Med. 2022. PMID: 35571171 Free PMC article. Review.

5

Disparities in peripheral artery disease care: A review and call for action.

Demsas F, Joiner MM, Telma K, Flores AM, Teklu S, Ross EG. Demsas F, et al. Semin Vasc Surg. 2022 Jun;35(2):141-154. doi: 10.1053/j.semvascsurg.2022.05.003. Epub 2022 May 8. Semin Vasc Surg. 2022. PMID: 35672104 Free PMC article. Review.

6

Validity of the Global Vascular Guidelines in Predicting Outcomes Based on First-Time Revascularization Strategy.

Lou V, Dossabhoy SS, Tran K, Yawary F, Ross EG, Stern JR, Dalman RL, Chandra V. Lou V, et al. Ann Vasc Surg. 2023 Sep;95:142-153. doi: 10.1016/j.avsg.2023.02.001. Epub 2023 Feb 23. Ann Vasc Surg. 2023. PMID: 36828135

7

Artificial intelligence in clinical workflow processes in vascular surgery and beyond.

Dossabhoy SS, Ho VT, Ross EG, Rodriguez F, Arya S. Dossabhoy SS, et al. Semin Vasc Surg. 2023 Sep;36(3):401-412. doi: 10.1053/j.semvascsurg.2023.07.002. Epub 2023 Jul 22. Semin Vasc Surg. 2023. PMID: 37863612 Free PMC article. Review.

8

Physician- and Patient-Elicited Barriers and Facilitators to Implementation of a Machine Learning-Based Screening Tool for Peripheral Arterial Disease: Preimplementation Study With Physician and Patient Stakeholders.

Ho V, Brown Johnson C, Ghanzouri I, Amal S, Asch S, Ross E. Ho V, et al. Among authors: ross e. JMIR Cardio. 2023 Nov 6;7:e44732. doi: 10.2196/44732. JMIR Cardio. 2023. PMID: 37930755 Free PMC article.

9

The use of machine learning for the identification of peripheral artery disease and future mortality risk.

Ross EG, Shah NH, Dalman RL, Nead KT, Cooke JP, Leeper NJ. Ross EG, et al. J Vasc Surg. 2016 Nov;64(5):1515-1522.e3. doi: 10.1016/j.jvs.2016.04.026. Epub 2016 Jun 3. J Vasc Surg. 2016. PMID: 27266594 Free PMC article.

10

Comparison of Pre-Amputation Evaluation in Patients with and without Chronic Kidney Disease.

Subramanian N, Han J, Leeper NJ, Ross EG, Montez-Rath ME, Chang TI. Subramanian N, et al. Among authors: ross eg. Am J Nephrol. 2021;52(5):388-395. doi: 10.1159/000516017. Epub 2021 May 6. Am J Nephrol. 2021. PMID: 33957619 Free PMC article.

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