Blog Post

AIFI – AI for Imaging – Collaborating on responsible AI in healthcare

AI solutions in healthcare only become truly valuable when they do what they’re meant to do: Support, accelerate, and relieve — without compromising on safety or reliability. That’s exactly why AIFI – AI for Imaging – was launched.

Share this blog post

AIFI — Collaborating on responsible AI in healthcare

AI solutions in healthcare only become truly valuable when they do what they’re meant to do: support, accelerate, and relieve — without compromising on safety or reliability. That’s exactly why AIFI – AI for Imaging – was launched: A feasibility study that bridges the gap between technological innovation and clinical practice.

Led by VZVZ, the Dutch Society of Radiology (NVvR), and the Dutch Association of Health Insurers, and in collaboration with five hospitals (Catharina Hospital, Gelre Hospitals, Radboud University Medical Center, Rivierenland Hospital, and ZGT), AIFI explores how AI software for medical imaging can be implemented in a safe, scalable, and interoperable way within Dutch hospitals.

For Radiobotics, this project offers a unique opportunity to align technology with existing healthcare infrastructures — with a strong focus on ethics, standardisation, and sustainable upscaling.

Transcript

Dirk van der Lugt

Project Leader, AIFI
VZVZ

AIFI stands for “AI for Imaging,” and it’s a national project that we are doing with five hospitals.

It is a feasibility study, where we explore how we can make AI solutions more accessible to hospitals to help increase the adoption of AI in the Netherlands.

Hanh-Phuc Tran

Radiologist
Ziekenhuis Rivierenland

It is a great collaboration between many organizations, health insurance companies, but also the Dutch Society of Radiology.

So it’s nice to participate in that and to be included in these developments.

As a radiologist and as a doctor, you make a lot of difficult decisions throughout the day. If you’re supported in making those decisions or can gain a bit more certainty, it makes the work more enjoyable. It improves both efficiency and quality.

Dirk van der Lugt

Project Leader, AIFI
VZVZ

We have a technical pillar, we have a clinical pillar, and we have a business case pillar. This means we’re trying to bring this to life from different angles.

These three pillars are especially important, [considering] how are you going to implement this, and how do you ensure it’s properly set up?

Matthijs Hutting

Unit Manager Imaging Technician
Ziekenhuis Rivierenland

Now with AIFI, you can have meaningful discussions among teams, enabling you to make informed decisions, and evaluate what might be the most effective or practical approach in each situation.

With these five hospitals, you can challenge each other, look beyond, and also assess whether what you’re doing is actually right.

Robbert van Drie

Quality Officer Radiology
Ziekenhuis Rivierenland

AIFI works with three applications, of which we have already started with two. This is the “fracture detection” and the “bone age.”

In practice, in our case, it looks like a button on the screen that you can click, and from the menu that opens, you can forward the images.

Hanh-Phuc Tran

Radiologist
Ziekenhuis Rivierenland

Previously, the technician had to wait for the radiologist to provide the findings. And now the technician can asses the images themselves, with the help of AI.

It gives a bit of extra certainty that you have seen everything.

Matthijs Hutting

Unit Manager Imaging Technician
Ziekenhuis Rivierenland

AIFI simply takes away a lot of the work. They arrange the contracts with the suppliers. They take care of the entire legal part. For example, they have completely drafted the DPIA.

Hanh-Phuc Tran

Radiologist
Ziekenhuis Rivierenland

AIFI helped us set everything up, covering all the aspects and challenges you face, and how to deal with them.

More insights from experts in MSK

To support clinicians in navigating challenging cases, RBfracture™ v2.5 introduces confidence scoring for each detected finding.
Now each Summary Report generated by RBfracture™ includes a QR code for users to quickly and easily submit study feedback.
Michael Lundemann, Chief Clinical and Scientific Officer at Radiobotics, will be sharing how our AI solution, RBfracture, can help optimise patient management in urgent care.

Entering your information does not subscribe you to marketing emails from Radiobotics; it just makes it easier for us to get in touch with you. You can always read our privacy policy.

Contact Radiobotics

Got a question?

Complete the form and someone will get back to you shortly. Or find department emails at our contact us page.

Entering your information does not subscribe you to marketing emails from Radiobotics; it just makes it easier for us to get in touch with you. You can always read our privacy policy.