Building scientific evidence together to demonstrate the power of our AI suite.

AZmed is proud to announce a strategic partnership with UP centre for pediatric emergencies and Radiologie Dix30, positioning the two healthcare centers in Canada at the forefront of AI innovation. Through this partnership, AZtrauma*, an artificial intelligence (AI) solution for fracture detection, dislocations, and joint effusions, is now available for pediatric trauma and emergency radiology, bringing better diagnostic outcomes and improved workflow management.

The FDA-cleared and CE-certified AI solution for pediatrics and adults, AZtrauma, has been in use in AZ Turnhout’s radiology department for two years, helping clinicians identify bone fractures, joint effusions, and dislocations. Radiologists around the world are facing increasing pressure from rising imaging volumes, increasing case complexity, and a shrinking workforce. Missed fractures are among the most common diagnostic errors and result in delayed treatment and prolonged patient recovery. To address these challenges, AZtrauma integrates AI-powered detection into clinical workflows, ensuring faster and more accurate diagnoses, optimizing resources, and minimizing patient waiting times.

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Leading European MedTech startup in radiology AI solutions, AZmed, has received the Medical Device Single Audit Program (MDSAP) certification, which guarantees that the company develops and supplies safe, effective, and regulatory-compliant medical imaging solutions. This certification ensures that AZmed meets the medical device regulations of the United States, Brazil, Australia, and Canada.

Diagnostic errors can delay care and frustrate patients. For radiology practices with high volumes of X-rays, maintaining accuracy while managing the daily workload is a significant challenge. SimonMed Imaging, one of the largest outpatient medical imaging providers in the U.S., addressed this by integrating AZmed’s clinically backed AI solution. With AZtrauma, radiologists receive X-rays augmented with AI, which marks potential fractures and other critical findings. Watch the video to hear what their Chief Innovation Officer, Dr. Sean Raj, MD, MBA, has to say.

The AI ecosystem in France continues to grow, with a 27% increase in AI startups since 2023. Among them, healthcare leads the way with 99 startups driving innovation. At AZmed, we have been continuously supporting medical imaging practitioners in over 2,500 institutions by optimizing workflows, reducing burnout, and enhancing diagnostic confidence with our clinically validated Rayvolve® AI Suite.

Fracture detection solutions are particularly critical in this context, as radiographic fracture identification remains highly complex and challenging. To address this persistent issue, the National Institute for Health and Care Excellence (NICE) in the UK established a committee to assess the role of AI in radiology and shortlisted top fracture detection AI solutions, including AZmed’s AZtrauma, one of the verticals of Rayvolve® AI suite, as part of its Early Value Assessment (EVA).

In order to address this growing shortage of healthcare professionals and provide ever more accurate and rapid diagnoses for more precise clinical decision-making, AI solutions have emerged, particularly in medical imaging. This year, AZmed is proud to present two scientific papers at this year's congress concerning the detection of CHEST anomalies on standard radiographs.

AZtrauma, fully certified MDaaS AI software for fracture detection by AZmed, uses sophisticated algorithms to analyze and detect bone fractures, dislocations, and joint effusions in medical images. Utilizing advanced deep learning and computer vision technologies, AZtrauma significantly enhances the productivity and precision of diagnosis for radiologists.

Rayvolve has been recognized by the National Institute for Health and Care Excellence (NICE) as a key AI technology to help healthcare professionals diagnose bone fractures in X-rays across the NHS. The AI solution encompasses four verticals: AZtrauma, AZchest, AZmeasure, and AZboneage. Among these, AZtrauma specifically focuses on detecting fractures, dislocations, and joint effusions. Clinically validated, the solution has demonstrated its ability to tackle one of the biggest challenges in medical imaging—ensuring fractures are diagnosed quickly and accurately, especially during time-pressured workloads in busy clinical environments.

AZmed, a leading company in AI for medical imaging, has partnered with Healthinc, a key distributor of radiology technology in Australia and New Zealand. This collaboration aims to advance the adoption of AI-driven radiology solutions throughout the region.

European MedTech startup AZmed has received 510(k) clearance from the US FDA for its Rayvolve solution that detects fractures on pediatric X-rays. The clearance comes two years after receiving FDA clearance for adult fracture detection. The clearance was supported by an independent study conducted with SimonMed Imaging, one of the largest outpatient imaging providers in the US.

At AZ Sint-Blasius in Dendermonde, they are unpacking an AI tool for bone fractures. The radiologists can now see what artificial intelligence thinks of each scan. This allows them to detect fractures much faster.  After a one-year trial period, it appears that the error rate is very small and that the system does not make more mistakes than humans. It has already been tested on about 250 patients a week. The hospital will continue to use the AI tool.

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The emergency physicians and radiologists at AZ Sint-Blasius have been using an artificial intelligence (AI) application since the beginning of this year that allows them to make faster diagnoses based on RX images.

The AI application is a product of AZmed, the European leader in AI applications for medical imaging. The application was designed to quickly and accurately detect fractures, dislocations and swelling in joints on X-ray images. The instrument is CE-certified as a medical device in Europe and Food & Drugs Administration-cleared in the US.

In 2023, SimonMed, a large outpatient imaging network with over 150 centers across the United States, faced a major challenge. The number of trauma X-rays increased by 20% compared to 2022, adding 100,000 more trauma films in just one year. This sudden rise created pressure on radiologists, disrupted workflow efficiency, and risked delaying critical diagnoses for patients with bone fractures and other injuries.

European MedTech startup AZmed, recognized as a leading company in AI for medical imaging, today announced that its Rayvolve solution has received 510(k) clearance from the Food and Drug Administration (FDA) for detecting fractures on pediatric X-rays. This milestone comes two years after receiving FDA clearance for adult fracture detection, positioning Rayvolve as a top-performing solution for detecting fractures in adult and pediatric patients. The clearance was supported by an independent study conducted with SimonMed Imaging, one of the largest outpatient imaging providers in the U.S.

KOŠICE. Univerzitná nemocnica L. Pasteura (UNLP) v Košiciach využíva na svojich urgentných príjmoch inovatívny softvér založený na umelej inteligencii (AI), ktorý urýchľuje diagnostiku zlomenín.
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Systém, ktorý je v prevádzke niekoľko mesiacov, umožňuje rýchlejšie a presnejšie stanovenie diagnózy.
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Ako informovala hovorkyňa nemocnice UNLP Monika Krišková, UNLP je prvou nemocnicou na Slovensku, ktorá začala túto novinku využívať na urgentných pracoviskách.

Since this year, the radiologists and emergency physicians at Maria Middelares have been using an innovative AI application to more quickly diagnose patients with fractures, dislocations and swelling of joints.

The Rayvolve Trauma tool from AZmed, European leader in radiological AI solutions, is a diagnostic AI tool specifically designed to identify different types of abnormalities in standard radiography. The tool is FDA* approved and CE certified* as a medical AI tool.

AZmed, a leading European MedTech startup, has secured €15 million in Series A funding. The operation includes investors such as Maison Worms, Techstars, and Teampact Ventures. The investment supports AZmed's overarching objective of shaping the future of medical imaging with artificial intelligence by accelerating the workflows of radiologists.

Ce mardi 20 février, Julien Vidal, président d'AZmed, s'est penché sur la présentation de son entreprise, ainsi que sur leur levée de fonds de 15 millions d'euros pour façonner l'avenir de l'imagerie médicale grâce à l'IA, dans l'émission Tech & Co, la quotidienne, présentée par François Sorel. Tech & Co est à voir ou écouter du lundi au jeudi sur BFM Business.

SimonMed Imaging, a leading name in outpatient imaging centers in the United States, has selected AZmed as its AI partner for X-ray diagnostics. This strategic collaboration aims to enhance efficiency, reduce waiting times, and elevate patient care standards through the integration of Rayvolve, AZmed's AI solution.

SimonMed Imaging recognized the pressing need for advanced AI assistance in managing the increasing volume of X-rays. After a thorough audit of various companies in the space, SimonMed opted for a trial of Rayvolve. The subsequent success and satisfaction among radiologists were validated, focusing on the remarkable improvement in Turnaround Time (TAT).

AI in radiology holds several benefits for radiologists and hospitals in general. Learn all that AI offers for radiology in this blog and how you can optimize X-ray diagnostics in your healthcare center.

A commercially available AI algorithm that can prioritize x-ray exams when it detects fractures yields “tremendous reductions” in report turnaround times, according to a study presented November 28 at RSNA.

Sean Raj, MD, discussed a pilot study led by outpatient radiology group SimonMed Imaging that evaluated by AZmed on turnaround time (TAT) for fracture detection. Based on the pilot study, the group plans to fully implement the software by the end of the year, Raj noted.

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Julien Vidal, 28, Alexandre Attia, 28, and Elie Zerbib-Attal, 28, the cofounders of AZmed on a mission to “augment doctors with the power of AI", are now nominated as part of the 2022 cohort of Forbes 30 Under 30

Today, it is universally accepted that Deep Learning algorithms are capable of achieving excellent performance in a known environment

Inferencing after conditional training involves a specific procedure which I'll let you inquisitive souls uncover for yourselves from this study [15] There you have it, an A.I solution for pneumonia cause classification. Medical workers equipped with an A.I solution as such would be able to make a rapid and reliable diagnosis - two r's that are essential to compensate for the lack of medical workers.

Today, it is universally accepted that Deep Learning algorithms are capable of achieving excellent performance in a known environment.

Technological innovations are only disruptive when we are not well prepared. In order to accommodate these innovations without disrupting doctors' habits, the steps taken in terms of data protection are therefore essential prerequisites, before considering any collaboration with healthcare institutions

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