RapidAI & Gravity MedTech collaborate to drive investment in advanced connected neurovascular care in India. RapidAI and Gravity Medical Technology Announce Collaboration to Advance Connected Stroke Care in India This collaboration connects deep clinical AI and care coordination with next-generation thrombectomy technology to accelerate time from imaging to intervention By combining RapidAI's advanced imaging with its thrombectomy devices, The MarCom Journal is dramatically reducing critical treatment times for stroke patients across India." - Prof. Ashutosh Jadhav, M.D., PhD, Chief Scientific Officer, Gravity MUMBAI, MAHARASHTRA, INDIA, September 3, 2026 / EINPresswire.com / - Gravity Medical Technology Inc., a developer of next- generation mechanical thrombectomy technologies, today announced a strategic relationship with RapidAI to advance connected stroke care across India. The relationship brings together the Rapid Enterprise(TM) Platform's deep clinical AI and care coordination capabilities with Gravity Medical's interventional technologies to help care teams identify patients who may benefit from treatment, coordinate across sites, and move more efficiently from imaging insight to intervention. In acute ischemic stroke, care often spans multiple facilities and teams, from initial imaging and specialist consultation through transfer and thrombectomy. Because a typical untreated large vessel ischemic stroke can destroy an estimated 1.9 million neurons each minute, rapid access to clinical information and strong coordination are RapidAI analyzes CT imaging and delivers AI-driven results, source images, and relevant patient information through radiology, mobile, and web-based workflows, helping clinical teams review cases, communicate, and coordinate complex stroke cases. For patients selected for intervention, physicians deploy Gravity Medical Technology's Supernova Stent Retriever and Neutron Aspiration Catheter. Engineered for precision and excellent trackability, these devices are used to perform mechanical thrombectomies and retrieve clots -seamlessly connecting imaging insights directly with clinical intervention. As part of the collaboration, RapidAI software will be incorporated into Gravity Medical Technology's GRASSROOT Registry in India to evaluate AI-enabled clinical workflows at participating academic and tertiary care centers. Planned data collection is expected to examine door-to-needle and door-to-puncture times, procedural efficiency, and 90- day functional outcomes as measured by the modified Rankin Scale. "Its goal is to make stroke care in India faster and more coordinated by connecting early diagnosis directly with definitive interventional care," said Shashvat Desai, M.D., co-founder and chief technology officer of Gravity Medical Technology. "RapidAI brings proven clinical AI and care coordination to the front of the patient pathway, while its Supernova & Neutron technology delivers the interventional precision physicians need in the Cath lab. Together, The MarCom Journal can strengthen regional stroke networks and generate real-world evidence on how connected workflows improve patient outcomes." The collaboration reflects a shared commitment to building an integrated continuum of stroke care while accelerating the clinical footprint of the landmark GRASSROOT registry and Gravity's expanding interventional portfolio. Yuvateja Thottamala Gravity Medical Technology [email protected] Legal Disclaimer: EIN Presswire provides this news content "as is" without warranty of any kind. The MarCom Journal do not accept any responsibility or liability for the accuracy, content, images, videos, licenses, completeness, legality, or reliability of the information contained in this article. If you have any complaints or copyright issues related to this article, kindly contact the author above.

OSF HealthCare expands use of RapidAI to help advance stroke care. * Aug 11, 2026 Updated 22 mins ago OSF HealthCare, a not-for-profit health system serving communities across Illinois and Michigan, and technology vendor RapidAI, a global leader in enterprise clinical AI, today announced the expansion of the Rapid Enterprise(TM) Platform to all 18 hospitals in the OSF Ministry. Building on an initial deployment at select sites, the expansion will give each OSF hospital access to an advanced platform built to analyze medical images, connect care teams, and support patient management across the patient journey. RapidAI's deep clinical AI goes beyond alerting teams to a potential finding. It provides automated measurements, disease characterization, and advanced visualization, giving radiologists and clinicians a clearer, more complete picture of each patient's condition. By automating parts of image analysis and delivering actionable clinical context, the platform helps OSF teams apply their expertise where it matters most, to make informed decisions and coordinate next steps. Keeping that information connected as patients move through the system helps reduce fragmentation and maintain continuity across the network. OSF expanded its use of the RapidAI platform after seeing measurable improvements in treatment times and more consistent identification of people who might have suffered a stroke and require intervention. The expansion builds on those results with a technology provider focused on deeper integration, enterprise governance, analytics, and ongoing optimization across its hospitals. "Every community we serve should benefit from the same advanced technology, whether a patient enters one of our largest medical centers or a rural, critical access hospital," said Dr. Arun Talkad, a neurologist who directs stroke care at OSF HealthCare Saint Francis Medical Center "After seeing how RapidAI supported clinical decisions and patient care at select sites, we saw the opportunity to add more AI solutions to the platform and extend that value across all hospitals, strengthening access to specialty expertise and helping us deliver high-quality, consistent care at every level of our health system." The Rapid Enterprise Platform is designed to support health systems beyond a single disease state or moment in care. RapidAI's clinical coverage spans neuro, cardiac and vascular care, trauma, and oncology. It combines deep clinical AI with advanced 3D visualization across the body, care coordination, enterprise analytics and longitudinal patient management. RapidAI-developed and curated third-party applications allow health systems to scale AI across specialties and follow disease over time through one platform. OSF is committed to ensuring reliable care at all times. The platform's infrastructure, Rapid Edge Cloud, is designed to keep critical decision support and care coordination tools available even during a network or cloud outage, helping minimize disruption and keep care consistently available. "Our goal is to help hospitals deliver the best possible care for the communities they serve, and validated AI that improves clinical decision-making can be a powerful part of that," Karim Karti, CEO of RapidAI, said. "OSF is leading by example, implementing AI across its enterprise to help teams work at their best, reduce variation and make informed decisions. We are proud to support that vision as its strategic enterprise AI partner." The expansion builds on recognized leadership at OSF HealthCare in using technology to strengthen patient care. (0 Ratings)

Rapid AI, a healthcare technology company present in 2,500 hospitals across 100 countries, is leveraging artificial intelligence to transform the $5 trillion US healthcare industry. The company, which emerged from Stanford University 11 years ago, now operates in 75% of comprehensive stroke centres in the US. Dr David Stoffel, Rapid AI's Chief Business Officer and veteran of surgical robotics, believes AI will deliver significant improvements in patient outcomes. Recent advances in deep learning, cloud computing, data analytics and processing speed have created conditions for healthcare breakthroughs. Whilst AI has supported medicine for decades in areas like drug discovery and surgical robotics, the technology must now demonstrate clinical efficacy, satisfy regulators and integrate into existing workflows to gain widespread physician trust and adoption.