Viz.ai

We're here in Seattle for SNIS! Stop by booth 209 to see how Viz Neuro Suite uses neuro-specific clinical intelligence to connect stroke, hemorrhage, aneurysm, and more into one platform. What Viz did for stroke, it's now doing for your entire neuro program. There’s still time to schedule a meeting at Viz.ai booth 209! https://lnkd.in/ghtHnWkb #SNIS2026 #CareCoordination #AIinHealthcare #Vizai #NeuroCare

Most rural stroke patients get transferred out. University of Kentucky HealthCare kept 93% of them local. A Kentucky-wide stroke collaborative redesigned how rural hospitals manage stroke by implementing Viz LVO, part of Viz Neuro Suite, standardizing transfer protocols and connecting specialists across the network. Unnecessary transfers dropped Care coordination accelerated Patients stayed in their local communities Join UK HealthCare’s Justin F. Fraser, MD, FAANS, FAHA and Viz.ai’s Andrew M. Ibrahim MD, MSc, in partnership with National Rural Health Association Services Corporation to learn how they did it. 📅 Tuesday, July 28 | 2:00 to 3:00 PM EDT  Register → https://lnkd.in/gbVmCjE3

⏲️ 10 𝐭𝐨 12 𝐦𝐢𝐧𝐮𝐭𝐞𝐬 𝐬𝐚𝐯𝐞𝐝 𝐩𝐞𝐫 𝐬𝐭𝐮𝐝𝐲. 33% 𝐟𝐚𝐬𝐭𝐞𝐫 𝐨𝐯𝐞𝐫𝐚𝐥𝐥. 90%+ 𝐨𝐟 𝐦𝐞𝐚𝐬𝐮𝐫𝐞𝐦𝐞𝐧𝐭𝐬 𝐡𝐚𝐧𝐝𝐥𝐞𝐝 𝐛𝐲 𝐀𝐈. Those are the numbers coming out of Endeavor Health's AI echo rollout, and Dr. Ilya Karagodin MD sat down with the Cardiac Wire Show to walk through how they got there. Dr. Karagodin is a cardiologist and Director of AI and Advanced Analytics at Endeavor Health. His team integrated Us2.ai directly into their Siemens Syngo Dynamics reading environment, so measurements flow straight into the native workflow with no clicking out. A few things he unpacks in the interview: 🔹 How they built the integration with Siemens and Viz.ai, and why native workflow was non-negotiable 🔹 The sonographer skepticism they encountered early on, and how it turned into a strong preference to keep using the AI workflow 🔹 What earlier detection of diseases with AI echo actually means for patient outcomes 🔹 The change management lessons behind their published editorial in JASE on user perceptions of AI echo His closing message to the field: 𝐞𝐦𝐛𝐫𝐚𝐜𝐞 𝐜𝐡𝐚𝐧𝐠𝐞. 𝐈𝐭'𝐬 𝐜𝐨𝐦𝐢𝐧𝐠 𝐞𝐢𝐭𝐡𝐞𝐫 𝐰𝐚𝐲. Watch and read the full interview 👇 https://lnkd.in/gSDba5FR Stay tuned! We'll be sharing clips from the conversation over the coming weeks. #AIEcho #Echocardiography #AI #Cardiology

Congratulations to Dr. William Ares and Ricky Wong, MD, FAANS from Endeavor Health and University of Chicago Medicine on publishing the first real-world clinical data using Viz.ai Subdural Plus™ in practice, presented at #SNIS2026! The study used the automatic quantification capability of Viz SDH+ to track patients and monitor midline shift using the objective, reproducible subdural measurements. If you're in Seattle, we’d love to show you how Viz SDH+ automates subdural collection measurements. Meet the product team behind Viz Neuro Suite at booth #209 https://lnkd.in/gk2hCV9s

The practice of prostate cancer care has fundamentally changed. Paul Yonover, MD, Chief Data Officer, UroPartners LLC. emphasizes that the diagnostic landscape has exploded with complex data, moving far beyond traditional PSAs and Gleason scores. This data overload is where AI becomes essential. Full episode on the Vizion Expert Series: https://lnkd.in/eercb84G #OncologyData #ProstateCancerCare #HealthData #AIinOncology

Basal ganglia hemorrhage demands ultra-early intervention. The MINUTE trial is testing whether the SCUBA technique can improve outcomes when surgery happens within 120 minutes of key clinical time points. Participating academic medical centers have access to the Viz Neuro Suite, including Viz ICH and Viz ICH Plus, which enables the rapid identification and care team coordination required to act within the short intervention window. When clinical presentation is acute, every minute matters. That’s when precision detection and unified coordination become critical. 👉 Read the full announcement: https://lnkd.in/ekdb8hiQ 👋 The team behind Viz Neuro Suite will be in Seattle for #SNIS2026, July 20-24. Come say hi at booth 209! #StrokeCare #NeuroAI #VizNeuro #HealthcareAI

Faster escalation, clearer communication, and connected care teams. That's what separates AI that triggers alerts from AI that drives outcomes. In the 2026 Black Book survey, Viz.ai outranked every clinical AI platform in Workflow Orchestration & Closed-Loop Care Coordination. See how Viz.ai is connecting rural hospitals to regional networks for faster, coordinated care: https://lnkd.in/gQxX92wU #Blackbook #Vizai #CareCoordination #AIinMedicine #ClinicalDecisionSupport

Viz.ai is expanding into neurodegenerative disease 🧠 The latest edition of Innovizion is live — this issue we're introducing our new collaboration with Cortechs.ai, bringing quantitative neuroimaging into the Viz.ai platform, starting with multiple sclerosis. Read the full edition below 👇

Viz.ai’s Dr Chris Mansi Wants to Win Back the Minutes That Matter Early in his career as a neurosurgeon, Chris Mansi operated on a young woman with an acute subdural hemorrhage, and the surgery could not have gone better. “The case went extremely well,” he recalled. Twelve hours later, she died. “You look back at the reason why, and it wasn’t what we did in the operating room,” he said. “It was the four to five hours it took to get her there.” The loss stayed with him, and it pointed at a problem no scalpel could fix. Mansi had trained in the UK and come to Stanford just as deep learning was taking off. He could see that AI was able to read a brain scan, but the bigger opportunity lay upstream. “If the workflow prior to the patient getting to the operating room wasn’t optimized, the patient outcomes were much poorer than they needed to be,” he said. He and his team mapped the route from scan to treatment and found it ran “between 13 and 56 steps,” any of which could stall. A consistent, automated read of a scan, he realized, could alert the right specialist and start the treatment process before hours slipped away. He pitched the idea in a business school class to Google’s Eric Schmidt, who funded it, and co-founded Viz.ai in 2016. “My career went from neurosurgery to startup entrepreneur,” Mansi said. “I took the leap of faith and went for it.” When the FDA told him he could not lean on an existing device and would have to break new ground, he braced for years of delay. Instead, “from that meeting to clearance was four months.” In 2018, Viz.ai earned the first clearance of its kind for an AI care-triage platform, then became the first AI company to win Medicare reimbursement. “We took the right path versus the easy path,” he said. The product is what Mansi calls “an AI safety net,” software that runs around the clock, flags a stroke or aneurysm or rare cardiac condition in seconds, and alerts the specialist who can act. It spread fast because it helped patients and hospital margins at once. Viz.ai now runs in close to 2,000 hospitals, holds more than 50 FDA-cleared algorithms across brain, heart, and lung conditions, and has raised nearly $300 million on its way to becoming a leader in healthcare AI. “Our mission is to increase access to life-saving treatments,” Mansi said, and he wants Viz.ai to one day enhance care for “every single patient and every single test” in the hospital. For the surgeon who once lost a patient to the clock, the work is still about minutes. Now he is trying to win them back by the thousands.

🤝 We're partnering with Cortechs.ai, a global leader in neuroimaging and quantitative analysis solutions, to integrate Cortechs.ai's NeuroQuant and NeuroQuant MS suite into the Viz.ai platform, expanding access to quantitative neuroimaging for hospitals and health systems across the U.S. This partnership marks Viz.ai's expansion into neurodegenerative disease, where the collaboration will begin with a focus on multiple sclerosis (MS), integrating quantitative MRI analysis from Cortechs.ai's NeuroQuant MS imaging analysis directly into Viz.ai's care coordination workflow. 👉 Read the full announcement: https://lnkd.in/eRSaMyRf #Neurology #MS #MultipleSclerosis #HealthcareAI