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Software programs leveraging artificial intelligence to detect vessel occlusions are now widely available to aid in stroke triage. Given their proprietary use, there is a surprising lack of information regarding how the software works, who is using the software, and their performance in an unbiased real-world setting. In this educational review of automated vessel occlusion software, we discuss emerging evidence of their utility, underlying algorithms, real-world diagnostic performance, and limitations. The intended audience includes specialists in stroke care in neurology, emergency medicine, radiology, and neurosurgery. Practical tips for onboarding and utilization of this technology are provided based on the multidisciplinary experience of the authorship team.
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http://dx.doi.org/10.1161/STROKEAHA.124.049555 | DOI Listing |
Eur J Vasc Endovasc Surg
September 2025
School of Health and Medical Sciences, City St George's University of London, London, UK; St George's Vascular Institute, St George's Hospital, London, UK; Department of Surgery and Cancer, Imperial College London, London, UK. Electronic address:
Objective: Sex specific anatomical differences may contribute to observed disparities in outcomes and suitability for endovascular aneurysm repair (EVAR) between men and women with abdominal aortic aneurysms (AAAs). This study aimed to assess these differences using fully automated volume segmentation (FAVS) and explore implications for EVAR suitability.
Methods: This was a retrospective, multicentre cohort study of patients undergoing elective AAA repair between 2013 and 2023 in three UK tertiary centres.
Eur J Radiol
September 2025
Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States.
Rationale/objectives: Image-based vascular biomarkers may help expedite evaluation of chronic thromboembolic pulmonary hypertension (CTEPH), which remains difficult to diagnose despite available effective therapies. We sought to determine if vascular heterogeneity and central redistribution on chest CT differed between CTEPH, pulmonary arterial hypertension (PAH), and control groups.
Materials/methods: We retrospectively included 108 patients who underwent right heart catheterization and chest CT (2011-2018).
Photodiagnosis Photodyn Ther
September 2025
Department of Ophthalmology, People's Hospital of Feng Jie, Chongqing, 404600, China. Electronic address:
Objective: This study aims to develop a robust, multi-task deep learning framework that integrates vessel segmentation and radiomic analysis for the automated classification of four retinal conditions- diabetic retinopathy (DR), hypertensive retinopathy (HR), papilledema, and normal fundus-using fundus images.
Materials: AND.
Methods: A total of 2,165 patients from eight medical centers were enrolled.
Comput Biol Med
September 2025
Department of Neurosurgery, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea.
Intracranial aneurysms (IAs) are common vascular pathologies with a risk of fatal rupture. Human assessment of rupture risk is error prone, and treatment decision for unruptured IAs often rely on expert opinion and institutional policy. Therefore, we aimed to develop a computer-assisted aneurysm rupture prediction framework to help guide the decision-making process and create future decision criteria.
View Article and Find Full Text PDFJ Neurosurg
September 2025
1Thayer School of Engineering, Dartmouth College, Hanover.
Objective: In open cranial procedures, intraoperative brain shift can degrade the accuracy of surgical navigation on the basis of preoperative MR (pMR) images as soon as the cortical surface is exposed. The aim of this study was to develop a fully automated image updating system to address brain shift at the start of open cranial surgery and to evaluate its accuracy and efficiency.
Methods: This study included patients undergoing open cranial procedures at a single center.