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January 30, 2024
b-rayZ receives CE mark for extended b-box
b-rayZ has announced receiving their MDR CE mark for its breast cancer diagnostic module supported by what they call 'DANAI technology'. DANAI allows for calibration of the algorithms to a local...
January 30, 2024
A framework to integrate AI training into radiology residency programs: preparing the future radiologist
The importance of AI knowledge is rapidly increasing for today’s radiologists. As the intersection of AI and medical practice becomes more integral, there is a heightened emphasis on embedding these...
January 30, 2024
Updates to Health AI Register January 2024
Siemens launched a new AI-Rad Companion Chest X-ray version with additional functionality. Apart from several clinical findings, the algorithms also detect the tip of the endotracheal tube...
January 29, 2024
Theoretical insights and practical guidance for effective AI implementation
In the rapidly advancing field of AI in radiology, where implementation remains a challenge, two recent publications are worthy of note, as they provide a rich mix of theoretical insights and...
January 19, 2024
Quibim adds cancer detection capability to QP-Prostate
Quibim has announced the release of an enhanced version of its QP-Prostate product. This latest version includes a cancer detection feature and has received FDA clearance, CE mark and UKCA mark,...
July 11, 2022
Celebrating 200 products on AI for Radiology
It’s time to celebrate! We have reached a milestone of 200 products on our platform AIforRadiology.com, the most comprehensive overview of CE marked artificial intelligence (AI) based products in radiology. Enough reason for giveaways!
May 27, 2022
One year of MDR: 17% of products comply
It has been a year since the more stringent Medical Device Regulation (MDR) replaced the former Medical Device Directive (MDD). With two years left on the clock for the 'transition period', only 17% of the AI products for radiology have obtained clearance under the MDR so far. If the market continues at this pace, half of the current CE marked AI products for radiology will not comply in time. The likely consequence is that software will be taken off the market and can no longer be used clinically after May 2024.Does that mean users stop buying MDD compliant AI software? Read about it in this blog!
February 17, 2022
Learn about AI in healthcare with these online courses
Barely anyone working in the field of AI in healthcare received a formal education on the combination of topics. Simply, because with emerging fields, there usually isn’t much formal education yet. However, by now, with the market maturing, more and more educational resources are becoming available for AI in healthcare specifically. Are you looking to bridge that gap between healthcare and AI? This is the place to start!
October 5, 2021
Is AI worth its money?
In the application of AI in healthcare, there is still a major question to be answered: who is going to pay - and how much - for AI in healthcare? A health technology assessment may help to find out. We applied this method to assess AI for stroke. In this blog, we discuss the results and implications and make the model available for your own use.
September 14, 2021
The origin story of AI for Radiology and a market summary
The market of artificial intelligence (AI) software for radiology keeps growing which makes it difficult for pretty much anyone in the field to maintain oversight. That's where AI for Radiology comes in. Read more about what we aim to do, how we do it, and learn what products are on the market today.