Links:
Quantib website
Linkedin:
Quantib LinkedIn
Quantib BV brings AI radiology software into clinical practice to improve patient care. It offers several CE-marked and FDA-cleared solutions, as well as some research products and algorithms in the realm of oncology and neurodegenerative diseases.
Founded in 2012 as a spin-off from the Erasmus Medical Center and based in Rotterdam, the Netherlands, it is currently part of RadNet’s AI division. RadNet is a leading provider of diagnostic imaging services and related technology solutions in the United States, with a network of 350 imaging centres. Quantib has customers in more than 20 countries worldwide. All of Quantib’s solutions are deployed through Quantib’s AI Node platform which allows for efficient workflow integration.
Quantib provides AI radiology solutions to enable faster and more accurate diagnosis by quickly identifying abnormalities, supporting adequate and timely patient care Quantib is a motivated participant in the ARTILLERY project, as this project can improve people’s lives. Quantib has built a strong in-house team spanning research and development, quality and regulatory affairs and commercialisation. The CE-marked and FDA-cleared Quantib AI Node platform for deploying AI algorithms allows fast iteration and testing with clinical users.
Lizette Heine
The people at Quantib combine strong professionalism with boundless enthusiasm. With strong backgrounds in research, health tech industry and global management in the medical field, the team is highly competent for setting Quantib up for success. Quantib has a large product development team, creating and maintaining the products and services we offer. We furthermore have teams around quality, service and installation, finance, marketing, clinical success and adoption, and clinical science. Lizette Heine is the director of clinical science. She has a background and PhD in neuroscience, and experience in project management. As part of her work within Quantib she leads the efforts for real-world clinical validation and collaborative scientific studies.
