Latest news with #MollyMadzivaTaitt
Yahoo
8 hours ago
- Health
- Yahoo
New Study Demonstrates AI-Powered Care Coordination Reduces Transfer Time and Improves Outcomes in Intracerebral Hemorrhage Patients
Real-world data highlights how accelerates access to ICH treatment SAN FRANCISCO, June 09, 2025--(BUSINESS WIRE)-- the leader in AI-powered disease detection and intelligent care coordination, today announced new clinical data showcasing the impact of Viz ICH and Viz ICH Plus in optimizing care for patients with intracerebral hemorrhage (ICH). The study, "Optimizing Intracerebral Hemorrhage Management and Interhospital Transfer With Viz ICH Plus AI Technology," highlights how AI-powered detection and quantification significantly reduced interhospital transfer (IHT) time, expediting treatment and improving patient outcomes. The case study features a 47-year-old patient with a right parieto-occipital hematoma who was rapidly identified by and transferred through the Neuroemergencies Management and Transfer (NEMAT) program. The use of Viz ICH and Viz ICH Plus cut the interhospital transfer time nearly in half - from an average of 200 minutes to just 101 minutes in this case - allowing the patient to undergo successful surgical evacuation and experience significant neurological recovery over the following year. "Viz ICH has transformed how we identify and triage patients with ICH," said Christopher Kellner, MD, Director of the Intracerebral Hemorrhage Program at Mount Sinai. "By accelerating diagnosis and enabling real-time alerts across teams and hospitals, this technology streamlines the entire transfer process, ensuring patients get the care they need without unnecessary delays." Intracerebral hemorrhage accounts for up to 15% of all strokes and has high morbidity and mortality rates, requiring rapid diagnosis and intervention. Accurate volume measurements of brain bleeds are crucial for assessing the severity of cases, monitoring progression, and guiding treatment decisions. However, these measurements have traditionally been manual and time consuming. Radiologists, neurologists and neurosurgeons can incorporate Viz ICH and Viz ICH Plus seamlessly into their workflows to automate this process and support faster, more efficient care decisions. In addition to reducing transfer time, AI-powered detection and quantification has demonstrated improved efficiency in clinical workflows, with faster hematoma volume estimation and more accurate assessments compared to manual methods. The study also highlights the scalability of the solution across large, complex hospital systems where specialized ICH care may only be available at select sites. "At we are committed to using AI to close the gaps in stroke care and bring faster, more accurate treatment to every patient—no matter where they first present," said Molly Madziva Taitt, Ph.D., VP of Global Clinical Affairs at "This study is a powerful example of how AI can reduce delays, support earlier interventions, and ultimately improve outcomes for patients with intracerebral hemorrhage." To learn more about Viz ICH Plus, visit About Inc. is the pioneer in the use of AI algorithms and machine learning to increase the speed of diagnosis and care across 1,700+ hospitals and health systems in the U.S. and Europe. The AI-powered One® is an intelligent care coordination solution that identifies more patients with a suspected disease, informs critical decisions at the point of care, and optimizes care pathways and helps improve outcomes. Backed by real-world clinical evidence, One delivers significant value to patients, providers, and pharmaceutical and medical device companies. For more information visit View source version on Contacts Media Contacts Carolyn Daniel Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Business Wire
8 hours ago
- Health
- Business Wire
New Study Demonstrates AI-Powered Care Coordination Reduces Transfer Time and Improves Outcomes in Intracerebral Hemorrhage Patients
SAN FRANCISCO--(BUSINESS WIRE)-- the leader in AI-powered disease detection and intelligent care coordination, today announced new clinical data showcasing the impact of Viz ICH and Viz ICH Plus in optimizing care for patients with intracerebral hemorrhage (ICH). The study, ' Optimizing Intracerebral Hemorrhage Management and Interhospital Transfer With Viz ICH Plus AI Technology,' highlights how AI-powered detection and quantification significantly reduced interhospital transfer (IHT) time, expediting treatment and improving patient outcomes. The case study features a 47-year-old patient with a right parieto-occipital hematoma who was rapidly identified by and transferred through the Neuroemergencies Management and Transfer (NEMAT) program. The use of Viz ICH and Viz ICH Plus cut the interhospital transfer time nearly in half - from an average of 200 minutes to just 101 minutes in this case - allowing the patient to undergo successful surgical evacuation and experience significant neurological recovery over the following year. 'Viz ICH has transformed how we identify and triage patients with ICH,' said Christopher Kellner, MD, Director of the Intracerebral Hemorrhage Program at Mount Sinai. 'By accelerating diagnosis and enabling real-time alerts across teams and hospitals, this technology streamlines the entire transfer process, ensuring patients get the care they need without unnecessary delays.' Intracerebral hemorrhage accounts for up to 15% of all strokes and has high morbidity and mortality rates, requiring rapid diagnosis and intervention. Accurate volume measurements of brain bleeds are crucial for assessing the severity of cases, monitoring progression, and guiding treatment decisions. However, these measurements have traditionally been manual and time consuming. Radiologists, neurologists and neurosurgeons can incorporate Viz ICH and Viz ICH Plus seamlessly into their workflows to automate this process and support faster, more efficient care decisions. In addition to reducing transfer time, AI-powered detection and quantification has demonstrated improved efficiency in clinical workflows, with faster hematoma volume estimation and more accurate assessments compared to manual methods. The study also highlights the scalability of the solution across large, complex hospital systems where specialized ICH care may only be available at select sites. 'At we are committed to using AI to close the gaps in stroke care and bring faster, more accurate treatment to every patient—no matter where they first present,' said Molly Madziva Taitt, Ph.D., VP of Global Clinical Affairs at 'This study is a powerful example of how AI can reduce delays, support earlier interventions, and ultimately improve outcomes for patients with intracerebral hemorrhage.' To learn more about Viz ICH Plus, visit About Inc. is the pioneer in the use of AI algorithms and machine learning to increase the speed of diagnosis and care across 1,700+ hospitals and health systems in the U.S. and Europe. The AI-powered One® is an intelligent care coordination solution that identifies more patients with a suspected disease, informs critical decisions at the point of care, and optimizes care pathways and helps improve outcomes. Backed by real-world clinical evidence, One delivers significant value to patients, providers, and pharmaceutical and medical device companies. For more information visit
Business Wire
23-04-2025
- Health
- Business Wire
Two New Clinical Studies Demonstrate Accuracy of Viz.ai Algorithm for Intracranial Hemorrhage Volume Measurements to Advance Timely, Critical Treatment Decisions
SAN FRANCISCO--(BUSINESS WIRE)-- the leader in AI-powered disease detection and intelligent care coordination, today announced new clinical data validating the accuracy and clinical utility of its AI-powered hyperdensity measurement solution for intracranial hemorrhage (ICH) management. Two independent studies highlight the ability of Viz ICH Plus to accurately and efficiently measure hemorrhage volume, quantify lateral ventricular volume, and estimate midline shift. 'Patients with ICH often require multiple scans in a short timeframe to guide treatment decisions,' said Peter Kan, MD, MPH, FRCSC, FAANS, Professor and Chair, Department of Neurosurgery, University of Texas Medical Branch. 'Manual measurements can be time-consuming and vary between providers. Viz ICH Plus enables us to assess patients more quickly, identify the most urgent cases, and determine whether intervention is needed—with greater consistency and efficiency.' The first study published in Neurosurgery, ' Estimation of Ventricular and Intracranial Hemorrhage Volumes and Midline Shift on an External Validation Data Set Using a Convolutional Neural Network Algorithm 1,' assessed the performance of Viz ICH Plus in quantifying ICH volume, bilateral lateral ventricle (BLV) volume, and midline shift (MLS). The algorithm performed well with low median absolute error in segmenting and quantifying ICH volume, BLV volume, and MLS. Viz ICH Plus achieved up to 92.3% accuracy in identifying clinically meaningful findings on scans. The second study in the Journal of NeuroInterventional Surgery, ' Real-World Evaluation of Automated Intracranial Hemorrhage Volume Calculation Tool 2,' evaluated 139 patients presenting with spontaneous ICH and compared automated measurements with traditional mABC/2 estimation. The study demonstrated that was significantly more accurate than mABC/2 (mean volume difference of 4.77±4.06 mL vs. 8.36±9.48 mL, p<0.01) and delivered results nearly 3x faster than manual methods. 'Accurate and timely volume estimation is critical for managing patients with ICH, especially in acute and intensive care settings,' said Molly Madziva Taitt, Ph.D., VP of Global Clinical Affairs at 'These studies reinforce the precision, speed, and reliability of Viz ICH Plus, empowering clinicians with real-time information that can enhance decision-making and contribute to improved patient outcomes.' With growing adoption across stroke centers and neurocritical care units, continues to expand its portfolio of intelligent care coordination solutions with real-world evidence and clinical rigor. To learn more about Viz ICH Plus, visit 1 Colasurdo, Marco MD*; Amran, Dor MSc, EE‡; Chen, Huanwen MD§; Ziv, Keren BSc, BE‡; Geron, Michal MD‡; Love, Christopher J. PhD‡; Robledo, Ariadna MD‖; O'Leary, Sean MS‖; Husain, Adam MS‖; Von Waaden, Nicholas MS‖; Garcia, Roberto MD‖; Edhayan, Gautam MD¶; Shaltoni, Hashem MD#; Memon, Muhammad Zeeshan MD#; Kan, Peter MD, MPH‖. Estimation of Ventricular and Intracranial Hemorrhage Volumes and Midline Shift on an External Validation Data Set Using a Convolutional Neural Network Algorithm. Neurosurgery ():10.1227/neu.0000000000003455, April 14, 2025. 2 Odland I, Liu KJ, Wu D, Yaeger KA, Ascanio LC, Smith C, Schuldt BR, Young T, Rossitto CP, Downes M, Vasan V, Ali M, Hardigan T, Shigematsu T, Fifi JT, Mocco J, Kellner CP. Real-world evaluation of the accuracy of the automated intracranial hemorrhage volume calculation tool. J Neurointerv Surg. 2025 Jan 19:jnis-2024-022564. About is the pioneer in the use of AI algorithms and machine learning to increase the speed of diagnosis and care across 1,700+ hospitals and health systems in the U.S. and Europe. The AI-powered One® is an intelligent care coordination solution that identifies more patients with a suspected disease, informs critical decisions at the point of care, and optimizes care pathways and helps improve outcomes. Backed by real-world clinical evidence, One delivers significant value to patients, providers, and pharmaceutical and medical device companies. For more information visit
Associated Press
23-04-2025
- Health
- Associated Press
Two New Clinical Studies Demonstrate Accuracy of Viz.ai Algorithm for Intracranial Hemorrhage Volume Measurements to Advance Timely, Critical Treatment Decisions
SAN FRANCISCO--(BUSINESS WIRE)--Apr 23, 2025-- the leader in AI-powered disease detection and intelligent care coordination, today announced new clinical data validating the accuracy and clinical utility of its AI-powered hyperdensity measurement solution for intracranial hemorrhage (ICH) management. Two independent studies highlight the ability of Viz ICH Plus to accurately and efficiently measure hemorrhage volume, quantify lateral ventricular volume, and estimate midline shift. 'Patients with ICH often require multiple scans in a short timeframe to guide treatment decisions,' said Peter Kan, MD, MPH, FRCSC, FAANS, Professor and Chair, Department of Neurosurgery, University of Texas Medical Branch. 'Manual measurements can be time-consuming and vary between providers. Viz ICH Plus enables us to assess patients more quickly, identify the most urgent cases, and determine whether intervention is needed—with greater consistency and efficiency.' The first study published in Neurosurgery, ' Estimation of Ventricular and Intracranial Hemorrhage Volumes and Midline Shift on an External Validation Data Set Using a Convolutional Neural Network Algorithm1,' assessed the performance of Viz ICH Plus in quantifying ICH volume, bilateral lateral ventricle (BLV) volume, and midline shift (MLS). The algorithm performed well with low median absolute error in segmenting and quantifying ICH volume, BLV volume, and MLS. Viz ICH Plus achieved up to 92.3% accuracy in identifying clinically meaningful findings on scans. The second study in the Journal of NeuroInterventional Surgery, ' Real-World Evaluation of Automated Intracranial Hemorrhage Volume Calculation Tool2,' evaluated 139 patients presenting with spontaneous ICH and compared automated measurements with traditional mABC/2 estimation. The study demonstrated that was significantly more accurate than mABC/2 (mean volume difference of 4.77±4.06 mL vs. 8.36±9.48 mL, p<0.01) and delivered results nearly 3x faster than manual methods. 'Accurate and timely volume estimation is critical for managing patients with ICH, especially in acute and intensive care settings,' said Molly Madziva Taitt, Ph.D., VP of Global Clinical Affairs at 'These studies reinforce the precision, speed, and reliability of Viz ICH Plus, empowering clinicians with real-time information that can enhance decision-making and contribute to improved patient outcomes.' With growing adoption across stroke centers and neurocritical care units, continues to expand its portfolio of intelligent care coordination solutions with real-world evidence and clinical rigor. To learn more about Viz ICH Plus, visit 1 Colasurdo, Marco MD*; Amran, Dor MSc, EE‡; Chen, Huanwen MD§; Ziv, Keren BSc, BE‡; Geron, Michal MD‡; Love, Christopher J. PhD‡; Robledo, Ariadna MD‖; O'Leary, Sean MS‖; Husain, Adam MS‖; Von Waaden, Nicholas MS‖; Garcia, Roberto MD‖; Edhayan, Gautam MD¶; Shaltoni, Hashem MD#; Memon, Muhammad Zeeshan MD#; Kan, Peter MD, MPH‖. Estimation of Ventricular and Intracranial Hemorrhage Volumes and Midline Shift on an External Validation Data Set Using a Convolutional Neural Network Algorithm. Neurosurgery ():10.1227/neu.0000000000003455, April 14, 2025. 2 Odland I, Liu KJ, Wu D, Yaeger KA, Ascanio LC, Smith C, Schuldt BR, Young T, Rossitto CP, Downes M, Vasan V, Ali M, Hardigan T, Shigematsu T, Fifi JT, Mocco J, Kellner CP. Real-world evaluation of the accuracy of the automated intracranial hemorrhage volume calculation tool. J Neurointerv Surg. 2025 Jan 19:jnis-2024-022564. About is the pioneer in the use of AI algorithms and machine learning to increase the speed of diagnosis and care across 1,700+ hospitals and health systems in the U.S. and Europe. The AI-powered One® is an intelligent care coordination solution that identifies more patients with a suspected disease, informs critical decisions at the point of care, and optimizes care pathways and helps improve outcomes. Backed by real-world clinical evidence, One delivers significant value to patients, providers, and pharmaceutical and medical device companies. For more information visit View source version on CONTACT: Media Contacts Carolyn Jones [email protected] Yunger [email protected] KEYWORD: UNITED STATES NORTH AMERICA CALIFORNIA INDUSTRY KEYWORD: TECHNOLOGY MEDICAL DEVICES NEUROLOGY CLINICAL TRIALS HEALTH TECHNOLOGY SOFTWARE HEALTH DATA MANAGEMENT ARTIFICIAL INTELLIGENCE SOURCE: Copyright Business Wire 2025. PUB: 04/23/2025 09:38 AM/DISC: 04/23/2025 09:37 AM
