Optimizing Intracerebral Hemorrhage Management and Interhospital Transfer With Viz ICH Plus AI Technology
Year: 2025
Type: article
Study design: Case Report
Abstract: This case study explores the integration of Viz ICH Plus, an AI-powered intracerebral hemorrhage (ICH) detection system, into a centralized program called the Neuroemergencies Management and Transfer (NEMAT) program of a large urban healthcare system. The study highlights how Viz ICH Plus promptly identified a right parieto-occipital hematoma in a patient presenting with a headache, resulting in a marked reduction in interhospital transfer (IHT) time. The patient underwent a successful supratentorial craniotomy for hematoma evacuation and demonstrated significant cognitive and physical improvement over the following year. Viz ICH Plus reduced IHT time from approximately 200 to 101 minutes, expediting access to definitive care and improving patient outcomes. Standard of care radiology review of the scan and communication of results could have added to additional delays in transferring this patient to receive definitive care. This case study illustrates a substantial reduction in transfer time and highlights the potential of AI to transform stroke care by optimizing response times and facilitating timely interventions.
Source: Cureus
DOI: 10.7759/cureus.80790
Institution: Icahn School of Medicine at Mount Sinai
Language: English
Subfield: Neurology
Field: Medicine
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W4408553828