This Antwerp-based University Hospital uses AI to save lives

This Antwerp-based University Hospital uses AI to save lives

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It seems the technology and hardware continue to evolve and expand in ways that benefit everyone including the radiologists. Computed Tomography is one of the significant ways for diagnosing diseases and evaluating injuries.

A CT scan uses computers and rotating X-ray machines to create cross-sectional images of the body showing various parts of the body including soft tissues, blood vessels, and bones.

With that being said, recent technological developments, enable hospitals to better manage patient care. Namely, the Antwerp University Hospital is constantly taking steps to increase efficiency through the incorporation of innovative technologies

In a bid to improve the quality of patient treatment and increase department efficiency, the radiology department at Antwerp University Hospital has started using innovative AI solution provided by Aidoc.

Aidoc, the provider of AI solutions for radiologists announced that Antwerp University Hospital has adopted Aidoc’s neuro solution. With this move, Antwerp university hospital is one among the first institutions in Europe to incorporate Aidoc’s cutting-edge technology.

Why Aidoc’s cutting-edge technology?

This hospital has integrated Aidoc’s neuro solution into their clinical workflow in order to properly detect two life-threatening conditions -cervical spine (C-spine) fractures and intracranial hyperdensities (ICH).

What are C-Spine fractures?

A C-spine fracture is generally referred to as a broken neck and is often the result of major trauma such as car accidents or bad falls. This type of fracture can lead to serious neurological damage, paralysis or death if not diagnosed and treated in time.

Despite the fact that around 2% of all ER patients receive CT scans in order to check for C-spine fractures, up to 20% of people with C-spine fractures are still diagnosed too late to prevent inevitable neurological damage.

What is ICH?

Generally, ICH in most cases is bleeding in the brain, which can result in a stroke or death if not treated in time.

How Aidoc’s solution can help?

In this case, Aidoc’s AI-driven triage process analyzes the images immediately after scanning, tagging urgent cases for the radiologist. This results in faster diagnoses and higher quality patient care. Having said that, the adoption by Antwerp University Hospital is expected to be quickly followed by other top hospitals in the region.

Radiology in Antwerp University Hospital!

Radiology is one of Antwerp University Hospital’s focus points, performing 160,000 procedures per year. According to the university, the ability to apply Aidoc’s solution into their existing GE PACS without making any changes to their workflow is revolutionary for both the patients and the radiologists.

Aidoc

Based out of Tel-Aviv, Aidoc develops full-body imaging AI software which helps detect and pinpoint critical anomalies for radiologists through deep learning and AI algorithms through medical images and patient data. Founded by Elad Walach, Guy Reiner, and Michael Braginsky, Aidoc has raised a total of €9.6M in funding over 4 rounds. Their latest funding was raised on Apr 26, 2017, from a Series A round.

Prof. Paul Parizel, Chairman of Imaging at the University of Antwerp, said:

Aidoc helps us to make important imaging decisions. AI is becoming increasingly important in all elements of radiology. Historically, neuroradiology has always been the starting point of innovation. Aidoc has wisely started by detecting the most critical cases, speeding up diagnosis in areas where time really matters.

Aidoc’s CEO Elad Walach, said:

Our solution works alongside radiologists, providing them with the ability to make precise, timely decisions for optimal patient care. Aidoc isn’t meant to replace the radiologists, rather it is used to enhance their capabilities, drastically improving patient care. The Antwerp University Hospital is an amazing partner that recognized that to advance in the medical field they must incorporate forward-thinking tools into their workflow, optimizing the quality of the care they provide their patients, and ultimately saving lives.

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