Grow Into AI: Cities Edition – Inspiration Session

May 21 @ 10:00 13:00 CEST

The Potential of AI

A half-day focus event shows you what the possibilities are for YOU as a business owner when it comes to AI. You’ll hear from experts who can translate the science behind new AI tools into understandable, manageable principles. You’ll learn about the range of tools now available to companies like yours to harness the power of AI and best practices. Let AI take some of your workload off your plate so you can focus on your core business.

Get inspired with new insights, new applications and proven success stories about AI in smart living applications. What will smart living look like and what technology will be incorporated to contribute and accelerate the city of the future?
Learn from testimonials how organizations are implementing AI to adapt to city transformations and what the benefits are of embracing AI.
We will shed light on technological questions and more generic processes.
A taste of the possibilities of AI for businesses who want to be integral to future cities!

Free Registration required

DSP Valley, The Beacon, AI4Growth

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Grow Into AI: Health Edition – Inspiration Event

May 18 @ 15:00 18:00 CEST

The Potential of AI

A half-day focus event shows you what the possibilities are for YOU as a business owner when it comes to AI. You’ll hear from experts who can translate the science behind new AI tools into understandable, manageable principles. You’ll learn about the range of tools now available to companies like yours to harness the power of AI and best practices. Let AI take some of your workload off your plate so you can focus on your core business.

Get inspired with new insights, new applications and proven success stories about AI in future healthcare. How can AI help us stay healthy without going to the hospital?
Learn from testimonials how organizations are implementing AI med-tech, biotech, and digital healthcare and what the benefits are of embracing AI.
We will shed light on technological questions and more generic processes like AI in HR and the impact of AI on regulatory approval.
A taste of the possibilities of AI in the health(care) sector!

Free Registration required

DSP Valley, flanders.health, AI4Growth

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Made possible through the generous support of

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Verhaert : AI assisted robotic spinal surgery

digital rendering of a robotic arm scanning a patient lying on a surgical table

DSP member Verhaert Masters in Innovation has received a research grant from VLAIO to develop state-of-the-art artificial intelligence (AI-)driven robot technology.

In the research project, Verhaert will develop a robotic platform for spinal surgery which uses algorithms developed by Deep Learning (AI). The developed algorithms will transform high resolution preoperative 3D images, like CT scans and MRIs, to high resolution images of the patient in his or her new physical laying position during surgery. The novel part of the proposed procedure is the significant reduction of the use of cancerogenous ionizing x-ray beams during surgery, like CT-scans, while still being able to perform sub-millimeter surgery and catheter tracking.

3-step surgical procedure
Defining the concept
The physical laying position of the patient changes before, at the start and during surgery, which has an impact on the physical position and form of the spinal cord. All these changes in position need to be taken into account in order to perform sub-mm surgery.

  • Before: the patient is laying on her back for high resolution CT/MRI scans.
  • At the start: the patient is laying on her stomach.
  • During: the patient is laying on her stomach and slightly moves because of breathing, heartbeat and the impact of the surgery itself.
Overview of the patient’s physical position before, at the start, and during surgery © VERHAERT

 Before surgery

A high resolution sub millimeter 3D image is taken from the patient several days before surgery. This is done either by a CT-scan or MRI. Typically, the scan is taken while the patient is laying on his/her back. Based on the image the surgery is planned and a trajectory is calculated in order to reach the desired location in the spinal cord.

Before surgery the patient is lying on her back for high resolution CT/MRI scans © VERHAERT

At the start of surgery
At this stage the patient will be laying on his/her stomach. Markers are placed on the patient which are detected by a set of Infra-Red cameras in order to create a 3D model of the patients’ physical position on the operating table. In this new position, a low dose low resolution (supra-millimeter) 2D image is take of the patients’ spine. The 2D image is taken with a C-arm 2D fluoroscopic scanner.

At the start of the surgery the patient is laying on her stomach © VERHAERT

The 2D image and the external marker localizations are used to transform the high resolution pre-surgery 3D image into a newly reconstructed high resolution 3D image of the spine in its new position and form. At this point, the surgeon and its team has a 3D image of the patients’ anatomy in combination with an external reference frame.

This article was written by the Verheart Team

You can visit Verhaert at their website and follow them at their social media accounts:

Lung Diagnostics Startup ArtiQ Keeps Innovating During Pandemic

Leuven-based startup ArtiQ has had plenty to keep them busy these last months. Using artificial intelligence-based software, ArtiQ.PFT, they help doctors interpret pulmonary function tests and improve the diagnostic environment for respiratory diseases. As the covid-19 pandemic hit, their lung diagnostic innovation has found fertile ground.

lung diagnostic testing in a hospital

Lung diagnostics innovation in the time of Corona

Recently, ArtiQ CEO and co-founder Marko Topalovic wrote about how he and his team have been tackling the Covid-19 pandemic for Eureca (European Respiratory Cluster Antwerp). In his article, Marko explains how the pandemic shifted ArtiQ’s focus somewhat.

“Due to the COVID-19 pandemic, all lung function tests were shut down during a certain time. Now hospitals are restarting their practice and lung function tests can be used to monitor the progression of the disease,” he writes.

After requests from doctors inundated by pandemic patients, Marko and the team decided to offer their software free of licensing fees until September. As such, their diagnostic AI technology is increasingly being used to follow-up on patients, in addition to its original intention to help with initial diagnoses.

ArtiQ.PFT, is already used in the interpretation of more than 50.000 lung function tests in UZ Leuven, CHU Saint-Pierre, OLV Aalst and ZOL Genk.

Marko Topalovic

Following Patient Roadmaps

As Covid-19 patients leave hospitals, they’re increasingly visiting their primary care doctors for check ups. This means that non-hospital healthcare providers are in more need of lung care technology. In response, ArtiQ is looking to move out of hospitals, too, and is actively working on bringing their technological support to GPs.

“ArtiQ plans to integrate AI-expertise with spirometry to support GPs in identifying lung diseases and improving their decision making,” Marko states. “In the future, such tool may play an important role in the follow-up of COVID-19 patients on the GP level.”

A stethoscope lying on a cloth

ArtiQ in drug development

Given the success they’re seeing in patient follow-up, the team at ArtiQ is also looking into expanding their technologies into pharmaceuticals and drug development. They’re specifically looking to bring their technology to clinical trials and improving quality control of lung function measurements.

As Marko explains, “In respiratory drug development, lung function is the primary clinical tool to assess the efficiency of treatment. Therefore, it is critical for pharmaceutical companies and the success of their clinical trials that the results of these tests are consistent and reliable.” ArtiQ’s new AI-based software can do just this.

Using AI to improve healthcare

Ultimately, it’s the AI ArtiQ integrates and innovates that’s making the big difference. The ArtiQ team is profoundly aware of the changes AI is bringing to the healthcare system. As they see it, using artificial intelligence in healthcare can provide tangible support for healthcare workers. Three top examples, elaborated in a recent blog post. include:

  1. Providing consistent decision support for healthcare providers, especially where large amounts of data are involved
  2. Reducing the administrative burden so that healthcare professionals spend less time on paperwork
  3. Creating more time to focus on human interaction. The preceding two will allow health professionals to have more time with patients and for meaningful collaborations with colleagues

You can visit ArtiQ at their website and follow them via their social media channels