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Quantib: 10 years of AI software development in radiology
January 31, 2023 by Marta Sánchez-Molero Veguillas
Recently, we turned 10 years old. With that, it is fair to say that the team has grown, learned, and evolved. The field of radiology, or medical ...
The importance of AI research collaborations between Industry and Academia
December 27, 2022 by Lizette Heine, PhD
Research is key for innovation and development of state-of-the-art solutions to improve healthcare and patient care. Most ground-breaking research is ...
Dr. Steiner’s real-world validation study of Quantib® Prostate
November 29, 2022 by Yiyi Cao
Scientific reviews | 4 Title: AI Enabled Diagnosis of Prostate Cancer with Multiparametric 3T imaging. Hands on preliminary evaluation: Quantib ...
Deep learning applications in radiology: a deep dive on image segmentation
October 25, 2022 by Pim Moeskops
Organ volumes, tumor dimensions, size of lymph nodes - these are some examples of measures that provide valuable information for radiologists to use ...
Dementia and AI
September 20, 2022 by Lizette Heine, PhD
Today, more than 55 million people worldwide have been diagnosed with dementia and it is believed that the number will increase by 10 million every ...
Clinical implementation of AI in radiology: facing the challenges
August 30, 2022 by Tiago Beck
Radiology is facing multiple challenges. A global shortage of radiologists1, an increasing population, and an increasing demand for imaging and ...
A 101 on the new FDA guidance for the approval of quantitative radiological products
July 26, 2022 by Floor van Leeuwen
In June 2022, the Food and Drug Administration (FDA) published a Guidance document1 to serve manufacturers of radiological devices as guidance when ...
DECIDE-AI, new guidelines for early-stage clinical evaluation of AI in healthcare
June 28, 2022 by Lizette Heine, PhD
There is a lot of research into utilizing artificial intelligence (AI) in healthcare. Although this is a good thing, most of this research is focused ...
Streamlined Quantitative Imaging Biomarker Development: Generalization of radiomics through automated machine learning
June 21, 2022 by Martijn Starmans, PhD
Scientific reviews | 3 Title: Streamlined Quantitative Imaging Biomarker Development: Generalization of radiomics through automated machine learning ...
Deep learning applications in radiology: a deep dive on classification
May 31, 2022 by Valerio Fortunati
A few years ago the FDA cleared the first medical software using deep learning (DL) networks. This opened the door to many more companies applying ...
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