17:33 uur 28-11-2022

Viz.ai benoemt adviesraad voor radiologie om innovatie te bevorderen

Toonaangevende experts om de toekomst van de radiologiestrategie en het platform van Viz.ai vorm te geven

SAN FRANCISCO–(BUSINESS WIRE)– Viz.ai, de leider in AI-aangedreven ziektedetectie en intelligente zorgcoördinatie, heeft vandaag de oprichting aangekondigd van zijn Radiology Advisory Board om Viz.ai te helpen bij de ontwikkeling van strategie en producten ter ondersteuning van radiologen en patiënten. Het bestuur bestaat uit 14 vooraanstaande zorgexperts met uiteenlopende ervaring en rollen in de radiologie.

“Ik ben vereerd om medevoorzitter te zijn van de Radiology Advisory Board en enthousiast over Viz.ai’s toewijding aan klanten en patiënten om te investeren in innovatie die de toegang tot levensreddende therapieën vergroot”, aldus Kevin Abrams, MD, medisch directeur van neuroradiologie en MRI en hoofd radiologie van het Baptist Hospital in Miami. “Ik kijk uit naar de rijke dialoog die tijdens onze inaugurele vergadering zal worden besproken en toekomstige ideeën zal worden onderzocht.”

Viz.ai Appoints Radiology Advisory Board to Advance Innovation

Leading experts to help shape the future of Viz.ai’s radiology strategy and platform

SAN FRANCISCO–(BUSINESS WIRE)– Viz.ai, the leader in AI-powered disease detection and intelligent care coordination, today announced the creation of its Radiology Advisory Board to assist Viz.ai in the development of strategy and products to support radiologists and patients. The Board consists of 14 leading healthcare experts with diverse experience and roles in radiology.

“I am honored to co-chair the Radiology Advisory Board and excited about Viz.ai’s commitment to customers and patients to invest in innovation that increases access to life-saving therapies,” said Kevin Abrams, MD, medical director of neuroradiology and MRI and chief of radiology at Baptist Hospital in Miami. “I am looking forward to the rich dialogue to be discussed in our inaugural meeting, exploring future ideas.”

“I’m looking forward to working with these esteemed board members to help shape Viz.ai’s Radiology Program through patient-centric vision, passion, and insights,” said Suzie Bash, MD, Co-Chair of the Viz.ai Radiology Advisory Board and Medical Director of Neuroradiology at San Fernando Valley Interventional Radiology at RADNET. “The role of artificial intelligence in radiology is growing exponentially. I’m excited by the opportunity that this foundational group of radiology experts has to apply translational, clinical AI experience to improve patient outcomes.”

The Board will assist the Viz team in informing its radiology strategy and research and development activities. Members will assess the impact of the Viz radiology program, identify clinical need for new features and modes of implementation, verify effectiveness of new capabilities, and ensure that sound scientific evidence supports projects. Additionally, the board will provide strategic advice regarding emerging science and therapeutic trends.

“The deep expertise of our Board will propel Viz.ai to new heights by driving the development of products that will support radiologists in their work and enhance patient outcomes,” said Jayme Strauss, chief clinical officer at Viz.ai. “We are immensely grateful for the expertise, time, and support of our Board members and proud to partner with them on this important endeavor.”

About Viz.ai, Inc.

Viz.ai is the pioneer in the use of AI algorithms and machine learning to increase the speed of diagnosis and care, covering more than 200 million lives across 1,200+ hospitals and health systems in the U.S. and Europe. The AI-powered Viz Platform is an intelligent care coordination solution that identifies more patients with a particular disease, informs critical decisions at the point of care, and optimizes care pathways and helps improve outcomes. Backed by clinical data, the Viz Platform delivers significant value to patients, providers, and pharmaceutical and medical device companies. For more information visit viz.ai.


Erich Sandoval

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