Editorial: Artificial intelligence for neuroimaging in the clinic - how compelling is the evidence?

Authors: Jennifer E. Soun, Brent D. Weinberg

Source: Frontiers in Neurology, Vol 16 (2025)

Subject Terms: neuroimaging, artificial intelligence, radiomics, stroke, epilepsy, Neurology. Diseases of the nervous system, RC346-429

File Description: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fneur.2025.1576364/full; https://doaj.org/toc/1664-2295

Access URL: https://doaj.org/article/d3172393206b475bb423752d5684b81a

Enhancing Radiologist Efficiency with AI: A Multi-Reader Multi-Case Study on Aortic Dissection Detection and Prioritization

Authors: Martina Cotena, Angela Ayobi, Colin Zuchowski, Jacqueline C. Junn, Brent D. Weinberg, Peter D. Chang, Daniel S. Chow, Jennifer E. Soun, Mar Roca-Sogorb, Yasmina Chaibi, Sarah Quenet

Source: Diagnostics, Vol 14, Iss 23, p 2689 (2024)

Subject Terms: aortic dissection, automated detection, deep learning, prioritized worklist, emergency radiology, multi-reader multi-case study, Medicine (General), R5-920

File Description: electronic resource

Relation: https://www.mdpi.com/2075-4418/14/23/2689; https://doaj.org/toc/2075-4418

Access URL: https://doaj.org/article/3fc66435a3eb49a3a7604b37b2ed9555

Diagnostic Performance of a Deep Learning-Powered Application for Aortic Dissection Triage Prioritization and Classification

Authors: Vladimir Laletin, Angela Ayobi, Peter D. Chang, Daniel S. Chow, Jennifer E. Soun, Jacqueline C. Junn, Marlene Scudeler, Sarah Quenet, Maxime Tassy, Christophe Avare, Mar Roca-Sogorb, Yasmina Chaibi

Source: Diagnostics, Vol 14, Iss 17, p 1877 (2024)

Subject Terms: deep learning, medical and biomedical image processing, aortic dissection, AI-based solution for radiology, machine learning diagnostic performance, medical imaging automated analysis, Medicine (General), R5-920

File Description: electronic resource

Relation: https://www.mdpi.com/2075-4418/14/17/1877; https://doaj.org/toc/2075-4418

Access URL: https://doaj.org/article/180d2c1e818241e9bd8ed9a5d35d9e54

Methamphetamine use increases the risk of cerebral small vessel disease in young patients with acute ischemic stroke

Authors: Zhu Zhu, Benjamin Vanderschelden, Sook Joung Lee, Haley Blackwill, Mohammad Shafie, Jennifer E. Soun, Daniel Chow, Peter Chang, Dana Stradling, Tianchen Qian, Wengui Yu

Source: Scientific Reports, Vol 13, Iss 1, Pp 1-7 (2023)

Subject Terms: Medicine, Science

File Description: electronic resource

Relation: https://doaj.org/toc/2045-2322

Access URL: https://doaj.org/article/26d290cd6323415aba56244a6f806670

Impact of an automated large vessel occlusion detection tool on clinical workflow and patient outcomes

Authors: Jennifer E. Soun, Anna Zolyan, Joel McLouth, Sebastian Elstrott, Masaki Nagamine, Conan Liang, Farideh H. Dehkordi-Vakil, Eleanor Chu, David Floriolli, Edward Kuoy, John Joseph, Nadine Abi-Jaoudeh, Peter D. Chang, Wengui Yu, Daniel S. Chow

Source: Frontiers in Neurology, Vol 14 (2023)

Subject Terms: artificial intelligence, large vessel occlusion, stroke, machine learning, CT angiography, Neurology. Diseases of the nervous system, RC346-429

File Description: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fneur.2023.1179250/full; https://doaj.org/toc/1664-2295

Access URL: https://doaj.org/article/7a1ab3e448cf4cf696da1ba9b5e8a8bf

Head-to-head comparison of commercial artificial intelligence solutions for detection of large vessel occlusion at a comprehensive stroke center

Authors: Jacob Schlossman, Daniel Ro, Shirin Salehi, Daniel Chow, Wengui Yu, Peter D. Chang, Jennifer E. Soun

Source: Frontiers in Neurology, Vol 13 (2022)

Subject Terms: artificial intelligence, large vessel occlusion, machine learning, deep learning, stroke, Neurology. Diseases of the nervous system, RC346-429

File Description: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fneur.2022.1026609/full; https://doaj.org/toc/1664-2295

Access URL: https://doaj.org/article/120ff40fda3544b79bffecf3224f4087

Validation of a Deep Learning Tool in the Detection of Intracranial Hemorrhage and Large Vessel Occlusion

Authors: Joel McLouth, Sebastian Elstrott, Yasmina Chaibi, Sarah Quenet, Peter D. Chang, Daniel S. Chow, Jennifer E. Soun

Source: Frontiers in Neurology, Vol 12 (2021)

Subject Terms: deep learning, artificial intelligence, radiology, large vessel occlusion, neuroradiology, intracranial hemorrhage, Neurology. Diseases of the nervous system, RC346-429

File Description: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fneur.2021.656112/full; https://doaj.org/toc/1664-2295

Access URL: https://doaj.org/article/1d67e04d87b04c02968af8f6af1a37aa

Impact of COVID-19 on Acute Stroke Presentation at a Comprehensive Stroke Center

Authors: Masaki Nagamine, Daniel S. Chow, Peter D. Chang, Bernadette Boden-Albala, Wengui Yu, Jennifer E. Soun

Source: Frontiers in Neurology, Vol 11 (2020)

Subject Terms: stroke, COVID-19, public health, thrombolytics, stroke triage, Neurology. Diseases of the nervous system, RC346-429

File Description: electronic resource

Relation: https://www.frontiersin.org/article/10.3389/fneur.2020.00850/full; https://doaj.org/toc/1664-2295

Access URL: https://doaj.org/article/39a2073616c14a5b8a7358711364f872

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Development and external validation of a prognostic tool for COVID-19 critical disease.

Authors: Daniel S Chow, Justin Glavis-Bloom, Jennifer E Soun, Brent Weinberg, Theresa Berens Loveless, Xiaohui Xie, Simukayi Mutasa, Edwin Monuki, Jung In Park, Daniela Bota, Jie Wu, Leslie Thompson, Bernadette Boden-Albala, Saahir Khan, Alpesh N Amin, Peter D Chang

Source: PLoS ONE, Vol 15, Iss 12, p e0242953 (2020)

Subject Terms: Medicine, Science

File Description: electronic resource

Relation: https://doaj.org/toc/1932-6203

Access URL: https://doaj.org/article/c3556f4a9dce43158ddd86341c4215c3