QUIBIM, AI imaging disruption to showcase the value of Precision

QUIBIM Imaging Biomarkers made transparent

We are in the era of Precision Medicine, and so is Radiology. Nowadays, main imaging modalities like X-ray, computed tomography (CT), magnetic resonance (MR), positron emission tomography (PET) and hybrid machines, among others, have become measurement instruments. Images are not only pictures anymore, but thanks to the application of computational analysis and artificial intelligence, they are data, as you can learn in this excellent manuscript in Radiology.

Nowadays, when radiologists perform measurements of different organs, tissues and lesion properties using a workstation, they are used to get a number (i.e. lesion volume or perfusion). If they take the same images and they get to analyze them in a workstation from another vendor (not straightforward), it is pretty sure that they will obtain different results. This issue has introduced a sense of lack of standardization and homogenization in the quantitative medical imaging field.

I like to say that value is to trust in the product, and we have decided to be the first company in the world to open the validation process and tests results of our imaging biomarkers. Every time we buy a measurement device for daily life purposes (i.e. thermometer) we know the degree of uncertainty, why wouldn’t we do the same in AI algorithms and quantitative imaging?

We are proud to make this announcement at ECR 2018: Now it is possible to see the precision, accuracy and clinical evaluation results of our imaging biomarkers. We provide the precision (through Coefficient of Variation, CoV) and accuracy (through relative error, e) values through the publication of QUIBIM Technical Datasheets that you can find in the resources section of our webpage.

With this strategy QUIBIM is going a step further by being the first multi-vendor, web-based and real precision Medicine company of the medical imaging & AI market.

Concerned by the accuracy of your measurements? Let’s work together.


Angel Alberich-Bayarri

Telecommunications & Electronics Engineer by the Polytechnics University of Valencia. Master in Biomedical Engineering and PhD achieved in 2010 by the Polytechnics University of Valencia, due to his research in the application of advanced image processing techniques to high spatial resolution Magnetic Resonance images for the study of bon estructure. In the profesional aspect, he is scientific-technical director of the Biomedical Imaging Research Group at La Fe Polytechnics and University Hospital and an entrepreneur and co-founder of QUIBIM (Quantitative Imaging Biomarkers in Medicine) company. He previously served as Director of Biomedical Engineering (2012-2014) and R&D engineer (2007-2012) in Quiron Hospital Group. He is the inventor of two patents in the field of medical imaging. He is also the author of over 25 scientific articles, 60 communications to international congresses and 10 book chapters. He has participated in a number of research projects and clinical trials. He is an active member of several scientific societies, among which the European Society of Medical Imaging Informatics (EUSOMII) being a member of the Board. He is also a member of the eHealth and Informatics sucommittee of the European Society of Radiology. In the educational area, he is collaborator of the Polytechnics University of Valencia in the supervision of final projects, theses and PhD’s and of the Faculty of Medicine at the University of Valencia as lecturer at Advanced Medical Imaging. In 2012 he was awarded by the Polytechnic University of Valencia with the Best PhD in the field of ICT’s and by the European Society of Radiology with the Best Scientific Paper Award for its advances in the application of engineering to the study of cardiovascular remodeling. In 2013 he received the Pro-European Academy Prize award, given to leading scientists exemplary groups in science and academic life. In 2014 he was recognized by the European Society of Radiology with the award for the best scientific contribution in the field of oncology. In November 2015 he was awarded by the Massachussets Institute of Technology (MIT) official publication MIT Technology Review, with the award "MIT Innovators Under 35".

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