Brainomix (United Kingdom)

Interpretable Machine Learning Modeling for Ischemic Stroke Outcome Prediction

Mohamed Sobhi Jabal, Olivier Joly, David F. Kallmes et al.

2022 · 62 Zit.

Artificial intelligence-based decision support software to improve the efficacy of acute stroke pathway in the NHS: an observational study

Kiruba Nagaratnam, Ain Neuhaus, James Briggs et al.

2024 · 11 Zit.

Impact of e-ASPECTS software on the performance of physicians compared to a consensus ground truth: a multi-reader, multi-case study

Hassan Kobeissi, David F. Kallmes, John C. Benson et al.

2023 · 10 Zit.

Artificial intelligence imaging decision support for acute stroke treatment in England: a prospective observational study

Kiruba Nagaratnam, Ain Neuhaus, Lauren Fensome et al.

2025 · 2 Zit.

Prospective Evaluation of Artificial Intelligence Imaging Support Software for Acute Ischemic Stroke in the Mayo Clinic Telestroke Network

Brett H. Smith, Jackson G. Wolfe, Arnaud Karam et al.

2025 · 1 Zit.

Abstract WP299: Clinical and Cost Impact of AI-Based Imaging Software on Reperfusion Treatment Rates in Acute Ischemic Stroke

Nichola R. Naylor, Zoe VJ Woodhead, David Hargroves et al.

2026 · 0 Zit.

EE692 The Cost-Effectiveness of an Artificial Intelligence Software for Stroke Imaging and Treatment Decisions in NHS Hospitals

Nichola R. Naylor, Jeff Wyrtzen, Zoe Woodhead et al.

2025 · 0 Zit.