SAHV European & international Research Alliance
One shared measure of subarachnoid hemorrhage, across continents. SAHVERA links centers that contribute de-identified imaging and outcomes to validate SAH volume (SAHV) and build explainable AI for non-contrast head CT.
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Centers and investigators building a shared SAHV evidence base
Jacksonville, Florida, USA
Lyerly Neurosurgery, Baptist Medical Center, Jacksonville, Florida, USA
Also at Baptist / Lyerly: Eric Sauvageau, MD · Amin Aghaebrahim, MD · Otavio Frederico de Toledo, MD · Salvador F. Gutierrez-Aguirre, MD · Montserrat Lara-Velazquez, MD
Contributed consecutive SAH cases to the multicenter eSAH validation using the SAHV (model 1) ABC/2 method.
Department of Neurology, Seattle, Washington, USA
Department of Neurology, Omaha, Nebraska, USA
Formerly at Mayo Clinic Florida, where he worked on the SAHV ABC/2 and eSAH validation studies. Continues as a remote SAHVAI researcher.
Neurology and Neurosurgery (UNIFESP), São Paulo, Brazil
Brazilian SAHV-BRaZA site. Contributed consecutive SAH cases to the multicenter eSAH validation using the SAHV (model 1) ABC/2 method.
BrainHemoAI Group, Second Affiliated Hospital, Nanchang, Jiangxi, China
Key paper: Hu P, et al. Deep learning-assisted identification and quantification of aneurysmal subarachnoid hemorrhage in non-contrast CT scans: development and external validation of Hybrid 2D/3D UNet. NeuroImage 2023;279:120321. PubMed · DOI
Neurocenter, Division of Neurosurgery, Helsinki, Finland
Behnam Rezai Jahromi, MD, PhD, is a neurosurgeon and researcher at Helsinki University Hospital and the University of Helsinki in Finland. His clinical focus is neurovascular surgery and microneurosurgery, along with biological approaches to modifying cerebrospinal fluid. He is the international principal investigator of the ARCH and VASH trials, holds several patents, and has contributed to more than 200 publications and 35 book chapters. He also serves as President of the ACE Society, where he leads its educational programs and international collaborations.
Neurovascular Unit, Department of Neurosurgery · GEIBAC, IBioVALL, Valladolid, Spain
Santiago Cepeda, MD, PhD, is an attending neurosurgeon in the Neurovascular Unit of the Department of Neurosurgery at Río Hortega University Hospital in Valladolid, Spain. He trained in neurosurgery at 12 de Octubre University Hospital in Madrid, earned his PhD cum laude from Complutense University of Madrid, and holds a Diploma in Translational Oncology. He also leads GEIBAC (Specialized Group in Biomedical Imaging and Computational Analysis) at IBioVALL. As a computational neurosurgeon, he combines clinical practice with hands-on AI development: he designs, codes and deploys his own machine learning tools for medical imaging, a combination that is still rare in the field. His tools include Mortality-SAH and CereBleed for subarachnoid and intracranial hemorrhage, as well as models for glioblastoma and intraoperative ultrasound.
Tools: CereBleed · Mortality-SAH · GEIBAC lab
Key papers: CereBleed. Neurosurgery 2026. DOI · Mortality-SAH. Neurosurgery 2026. DOI
Mayo Clinic Rochester (Minnesota) is part of the Mayo SAHVAI team and appears on the globe as a linked node. Brazil and Baptist sites: external multicenter validation of the eSAH score, Sci Rep 2025.
Interfacing with
Intracerebral and subarachnoid hemorrhage share the same first problem: finding and measuring blood on a head CT, fast and the same way everywhere. SAHVERA is designed to interface with the CODE ICH group so that volumetric measurement, AI tools and trial-ready data standards can be shared across hemorrhagic stroke.
From a shared volumetric measure to prospective, outcome-driven trials
SAHVERA
A proposed future multi-omics trial investigating radiomics of imaging, clinomics, metabolomics, and other laboratory data on SAH outcomes.
Future trial · 2027–2028
SAH Volumetric Expedited Resolution
Exploring the use of active CSF irrigation versus EVD on outcomes.
Bring your center into the alliance