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Abstract Details

Optimizing Intracerebral Hemorrhage Management and Interhospital Transfer with AI Driven Detection: Insights from Viz ICH Plus
Neuro Trauma and Critical Care
P8 - Poster Session 8 (8:00 AM-9:00 PM)
7-003

To integrate Viz ICH Plus to streamline interhospital transfer (IHT) and decrease the time to transfer and minimally invasive surgical (MIS) evacuation of intracerebral hemorrhage (ICH).

 

ICH is associated with significant morbidity and mortality. MIS within 24 hours of ICH onset has shown significant functional benefits. This study reports on an AI-guided stroke detection program, Viz ICH Plus, to streamline IHT and decrease time to treatment and IHT for ICH.

A 47-year-old male with a past medical history of hypertension presented with severe headache, nausea, and vomiting. Patient underwent a CT scan head (CT head) at the transferring hospital which was analyzed with Viz ICH Plus. This showed a large right parieto-occipital hematoma with right lateral ventricle extension. The receiving hospital team was promptly alerted via Viz AI application. The receiving team contacted the transferring hospital via the receiving hospital's command center to initiate IHT and provided preliminary recommendations for stabilization. The transfer duration from initial alert to admission was 101 minutes over a 13.7-mile distance. In comparison, the average IHT time was 199.7 minutes for ICH patients following the same ICH-specific IHT protocol.
One-month follow-up assessment demonstrated modified Rankin Scale (mRS) and NIH Stroke Scale/Score (NIHSS) scores of 4 and 6, respectively. Cognition and memory recall improvements were observed on physical exam. On a three-month follow-up assessment, his mRS and NIHSS scores improved to 3 and 5, respectively, along with physical and cognitive improvements. CTH at 6- and 12-months post-hemorrhage was negative for ICH or acute infarct. At one year post-hemorrhage, the mRS and NIHSS scores had improved to 1 and 2, respectively.
Viz ICH Plus could significantly decrease treatment time with automated pathology detection on imaging, and improve metrics such as time from initial presentation to patient identification, duration from ictus to treatment, and overall patient outcomes.
Authors/Disclosures
Ryan Afreen
PRESENTER 		Ms. Afreen has nothing to disclose.
Bahie Ezzat, MD Mr. Ezzat has nothing to disclose.
Roshini Kalagara, BA Miss Kalagara has nothing to disclose.
Neha Dangayach, MD, FAAN (Icahn School of Medicine At Mount Sinai and Mount Sinai Hospital) Dr. Dangayach has nothing to disclose.
Christopher P. Kellner, MD (Mount Sinai Health System) Dr. Kellner has stock in METIS Innovative. Dr. Kellner has stock in Precision Recovery. Dr. Kellner has stock in Synchron. Dr. Kellner has stock in Fluid BioMed. Dr. Kellner has stock in Proprio. Dr. Kellner has stock in Von Vascular. Dr. Kellner has stock in E8. Dr. Kellner has stock in Borvo. Dr. Kellner has stock in Phantom Neuro. Dr. Kellner has stock in Radical. Dr. Kellner has stock in Reach Neuro. Dr. Kellner has stock in Aurenar. The institution of Dr. Kellner has received research support from Integra. The institution of Dr. Kellner has received research support from Penumbra. The institution of Dr. Kellner has received research support from Viz.AI. The institution of Dr. Kellner has received research support from ICE Neurosystems. The institution of Dr. Kellner has received research support from Irras. The institution of Dr. Kellner has received research support from Microtransponder. The institution of Dr. Kellner has received research support from Medtronic. The institution of Dr. Kellner has received research support from Longeviti. The institution of Dr. Kellner has received research support from Endostream. The institution of Dr. Kellner has received research support from CVAID.