Press, partnerships, and clinical insight from the front line of AI in radiology

AZmed receives its 6th FDA clearance, taking Rayvolve to eight FDA-cleared findings across MSK and chest X-rays

AZchest is now FDA cleared to find pneumothorax, pleural effusion, consolidation, and increased cardiothoracic ratio on chest X-rays. Read the full news.

AI for X-rays: How it works, what it detects, and why it's now clinical standard

Learn how AI for X-rays analyzes images, detects trauma, chest, measurement, and bone age findings, and supports clinical radiology workflows.

Why orthopedic urgent care clinics are replacing the next-day physician over-read with AI

See how AI second-reader support can help orthopaedic urgent care teams reduce next-day over-read gaps, flag fractures, and support APP X-ray workflows.

Primul spital pediatric din România care implementează inteligența artificială în radiologie

Un spital pediatric a integrat, în ultimii trei ani, în fluxul real, un algoritm de radiologie alimentat de o bază de date de peste 25 de milioane de radiografii.

Why emergency fractures are most likely to be missed at night

See why emergency fractures are often missed at night, including subtle X-ray findings, clinician fatigue, staffing gaps, and how AI can support review.

AZtrauma FDA clearance now includes joint effusions and dislocations

AZmed and Radin Health expand their partnership after AZtrauma’s FDA clearance, bringing broader trauma X-ray AI capabilities into Radin’s RIS/PACS platform.

AZtrauma receives expanded FDA clearance for joint effusions and dislocations

AZtrauma gains expanded FDA 510(k) clearance to detect joint effusions and dislocations on X-rays in adults and pediatric patients over 2.

Night shifts, high volumes, and missed fractures on X-rays

Learn why missed fractures on X-rays happen, how fatigue and workflow pressure affect radiologists, and how AI detection supports faster review.

SimonMed leads the largest global study of AI in X-ray

A landmark, peer-reviewed global study representing the largest published evaluation of artificial intelligence in X-ray imaging has been published in Radiography.

Can AI improve trauma X-ray review in small ER settings

Learn how AI improves trauma X-ray review in small ER settings by supporting fracture detection, first-pass review, and clinical decision-making.

How an X-ray moves through a radiology AI tool

See how an X-ray moves through a radiology AI workflow, from DICOM routing and de-identification to inference, PACS integration, audit logs, and data privacy.

Planning a bone fracture detection AI project? Start here

Planning a bone fracture detection project? Learn how hospitals can define scope, review evidence, assess workflow fit, validate locally, and monitor deployment.

How orthopedic AI is transforming X-ray imaging in 2026

This evidence-based overview reviews clinical studies, real-world performance, and what hospitals should know before adopting orthopedic imaging AI.

AZmed and RADIN Health partner to bring AI radiology tools to U.S. hospitals, imaging centers, and radiology practices

AZmed's Rayvolve® products will be available through RADIN Health's platform. These FDA-cleared solutions are supported by the largest clinical validation study conducted to date for X-ray AI.

Why AI worklist triage on X-rays changes throughput and case mix

AI triage platforms process incoming imaging examinations and automatically stratify them based on urgency and clinical priority.

Best AI for fracture detection: Radiologist evaluation guide

Learn how to evaluate and choose the best AI for fracture detection. Evidence-based criteria for radiologists selecting clinical decision support tools.

FUJIFILM and AZmed partner to deliver AI-assisted X-Ray analysis through synapse PACS

Fujifilm integrates AZmed's Rayvolve® AI Suite into Synapse PACS, giving radiology departments in Benelux direct access to CE-marked AI for fracture, chest, and CT analysis.

AZ Sint-Blasius breidt inzet van artificiële intelligentie in radiologie verder uit

De internationale bedrijven AZmed en FUJIFILM, hebben nu 4 extra AI-toepassingen aangeboden, die ook op andere domeinen kunnen werken.

Klinik Landshut-Mitte ergänzt seit Kurzem die Auswertung bildgebender Untersuchungen um eine KI-Anwendung

Die LA-Regio Kliniken nutzen am Standort Landshut-Mitte die KI-gestützte Rayvolve® AI Suite von AZmed für die Röntgendiagnostik im Rahmen ihrer Digitalisierungsstrategie.

Your complete guide to Europe’s largest radiology congress (ECR 2026)

ECR, Europe’s largest radiology meeting, is also the world’s second-largest radiological congress.

RADIO-LOG uses AZmed AI as a second-read safety net for X-rays

RADIO-LOG uses AZmed AI radiology solutions for fracture and chest detection in Germany, providing a second-read safety net for X-rays that supports radiologists during high-workload periods.

Estratégia de IA em Saúde de US$ 4 Bi do Brasil: Impacto no Diagnóstico por Imagem na América Latina

Com a Rayvolve AI Suite liberada no Brasil, serviços de saúde têm acesso a ferramentas de IA clinicamente validadas, alinhadas às prioridades do PBIA.

What is X-ray report pre-fill and how does it clarify X-ray communication

X-ray report pre-fill helps radiologists write faster, clearer, and more consistent reports while maintaining full control of every finding. Read this article to know more.

AZmed amplía su oferta a la tomografía computarizada con AZnod, una herramienta de IA para la detección de nódulos pulmonares con marcado CE y primer producto de la línea Rayscan

AZmed anunció el marcado CE de AZnod, su primera herramienta de IA para TC, parte de la nueva línea de productos Rayscan.

AZmed erweitert sein Portfolio um CT-Bildgebung mit dem CE-gekennzeichneten AZnod, einer KI-Lösung zur Detektion von Lungenknoten und dem ersten Produkt der Rayscan®-Linie

AZmed gab die CE-Kennzeichnung von AZnod bekannt, seiner ersten KI-Lösung für CT innerhalb der neuen Produktlinie Rayscan®.

A AZmed expande-se para a imagiologia por TC com o AZnod, uma ferramenta de IA para deteção de nódulos pulmonares com marcação CE e o primeiro produto da sua linha Rayscan®

A AZmed anunciou a marcação CE do AZnod, sua primeira ferramenta de IA para TC, parte da nova linha de produtos Rayscan.

AZmed granted CE mark for CT lung screening tool

AZmed has received the CE mark for AZnod, designed to detect and characterize pulmonary nodules on CT scans.

AZmed introduces AZnod, the first CT solution in the Rayscan® AI suite

AZnod, AZmed’s AI solution for CT lung nodule detection, has received CE marking. It marks the first CT application within the Rayscan® AI Suite.

How to evaluate FDA- or CE-cleared AI for routine radiography

Learn how to evaluate FDA and CE-marked AI tools for routine radiography, from clinical validation and workflow integration to ROI and real-world use.

AZmed and Incepto improve radiologists’ workflow

AZmed and Incepto improve radiologists’ workflow: the Rayvolve® AI suite is now integrated on the Incepto platform.

How AGAPLESION ELISABETHENSTIFT uses Rayvolve to support diagnostic confidence in medical imaging

A detailed look at how AGAPLESION ELISABETHENSTIFT deploys radiology AI to improve fracture detection, chest analysis, and workflow efficiency using the Rayvolve AI Suite by AZmed.

IA na detecção torácica

A IA transformou os fluxos de trabalho na detecção de imagens torácicas. As radiografias de tórax ainda representam cerca de 40% das imagens realizadas em unidades de radiologia hospitalar.

Há poucos radiologistas na Europa, alerta a EU-REST

Os departamentos de imagiologia europeus enfrentam uma escassez crítica de especialistas. O projeto EU-REST mostra que muitos países já operam abaixo dos limites seguros de mão de obra.

Einsatz von KI in der Radiologie

Moderne KI-Algorithmen wandeln große Mengen an Bilddaten in Echtzeit in präzise Erkenntnisse um und unterstützen Ärzt:innen bei klinischen Entscheidungen.

Lançamento do novo recurso de datação de fraturas da AZtrauma

Saber se uma fratura tem seis horas ou seis semanas muda tudo: diagnóstico, imobilização, necessidade de tomografia e até alerta às autoridades de proteção.

Künstliche Intelligenz zur Frakturerkennung in der Radiologie

Die Traumaversorgung in der Notaufnahme hängt von einer schnellen und präzisen Frakturerkennung ab, um die Schmerzen der Patienten zu lindern und schwerwiegende Komplikationen zu verhindern.

Principais estudos clínicos sobre IA de trauma em radiologia

Erros ou atrasos no diagnóstico de fraturas representam 3% a 10% dos erros em radiografias de trauma. Dados incompletos e fadiga cognitiva aumentam o risco de falhas.

Radiologia com IA na prática

A IA substituirá os radiologistas? Não. A IA reconhece padrões, mas os radiologistas são essenciais para o diagnóstico, contexto clínico e responsabilidade médico-legal.

Além do algoritmo: repensando a responsabilidade e a confiança na radiologia com IA

A IA está amadurecendo, passando de protótipos à prática clínica. Essa evolução é visível na radiologia, onde algoritmos interpretam imagens de raios-X, tomografia e ressonância magnética.

KI unterstützt in der Notaufnahme

Seit März 2025 ist die KI „AZmed“ im Einsatz. Sie analysiert Röntgenbilder auf mögliche Frakturen, Flüssigkeiten im Gewebe oder Gelenken sowie Pneumothorax und markiert auffällige Befunde.

Can AI radiology speed up diagnosis without sacrificing quality?

Discover how AI radiology improves speed and accuracy. See how AZmed helps radiology departments reduce turnaround times and support patient care.

Improving diagnostic accuracy & turnaround with radiology AI

Learn how AZmed’s Rayvolve® AI Suite enhances diagnostic accuracy, speeds report turnaround, and integrates seamlessly into radiology workflows.

AZmed launches RIS-integrated report prefill powered by the Rayvolve AI Suite

Rayvolve pre-fills RIS reports to EDL/Evolucare with structured findings, cutting TAT and variability while keeping radiologists in control. CE-marked and FDA-cleared.

AZmed’s radiology AI reaches Romanian sites via native PACS integration

Romanian hospitals can access Rayvolve® directly in PACS, with single sign-on, helping reduce reporting time while preserving quality controls and audit logs.

How is AI changing the role of the radiologist?

Learn how AI radiology is changing the role of radiologists by reducing routine tasks while supporting accuracy, efficiency, and collaboration in clinical practice.

What are the benefits of AI in radiology? 5 clinically proven benefits in 2025

Learn the key benefits of AI in radiology and how it’s helping hospitals improve speed, accuracy, and patient care.

Will AI replace radiologists? What AI radiology can and cannot do

We are seeing a shift toward collaboration, with AI helping radiologists manage workloads without replacing human expertise in patient care.

Can AI radiology reduce radiologist burnout? A comprehensive analysis

Learn how AZmed’s Rayvolve® AI Suite helps radiologists reduce burnout by automating tasks, improving accuracy, and enhancing workflow efficiency.

How artificial intelligence enhances confidence for frontline clinicians

AI X-ray analysis surfaces subtle findings, triages urgent cases, and standardizes reports, supporting clinician judgment and faster, clearer decisions.

The 2025 EU AI in healthcare final report

Europe’s 227-page AI report signals major changes for radiology workflows. We break it down for medical imaging leaders and AI developers.

AI in chest detection

AI chest detection can help. Think of it as an extra pair of steady eyes working in real time. The software runs in the background, so radiologists need no extra clicks. It flags areas of concern, measures them, and provides a summary.

Complete radiologist salary guide 2025

Doximity polled more than 37,000 full-time U.S. physicians. It found that the average salary of a radiologist hit $571,749 for work-year 2024, a 7.5% jump in twelve months.

MHRA 2025 AI radiology regulations

MHRA’s July 2025 reforms speed AI radiology and diagnostic imaging access through international reliance, CE‑mark extension and targeted UKCA reviews.

AI in trauma radiology: Case studies

Artificial intelligence offers exactly that. Modern AI tools apply deep‑learning models to medical imaging, highlighting suspicious lines or cortical step‑offs within seconds.

England 10 year health plan and AI in radiology

The 10‑Year Health Plan sets a clear trajectory: routine medical imaging will be both digital and AI‑augmented well before 2035.

AI-powered chronology helps radiologists separate acute from chronic fractures

During routine processing, AZtrauma analyses each fracture’s edge sharpness, callus density, and cortical continuity, the same cues radiologists use, then assigns a probability score.

EU-REST project warns that radiologist gap will widen by 2030

The EU-REST project warns that shortages lengthen cancer-staging pathways and delay emergency interventions. Understaffing raises radiation dose because over-worked teams skip protocol optimisation.

AI radiology reduces errors, and transparency reduces lawsuits

Artificial intelligence is maturing from proof-of-concept prototypes to daily clinical practice.

Your next submission will be judged by Elsa FDA AI

Built inside Amazon Web Services’ FedRAMP-High GovCloud, Elsa is a large-language-model (LLM) environment that never trains on sponsor data and never moves files outside the FDA firewall.

Radiology delays hit a new high, but AI in diagnostic imaging offers hope

AI in diagnostic imaging uses machine-learning algorithms to analyse medical images and flag abnormalities. In radiology it can: Triage normal studies so radiologists focus on complex cases.

How FDA AI could transform submission workflows

The FDA has finished its first experiment with an AI system that helps scientists review data, and it now plans to roll the technology out across every center by 30 June 2025.

Evaluating the impact of AI radiology in clinical practice

Over the next few years, AI radiology will transition from point solutions to multimodal orchestration platforms.

AI-powered bone age estimation with AZboneage

The algorithm generates structured outputs, which display the predicted skeletal age and the recorded chronological age when available.

AZmed and Nexus MD partner to expand access to FDA-cleared AI radiology tools across the U.S.

AZtrauma is designed to detect bone fractures in X-ray images of patients with acute musculoskeletal injuries.

AZtrauma helps Narva Haigla tackle diagnostic delays and clinician shortages

AZmed receives two new FDA clearances for its AI-powered chest X-ray solution

AZmed, one of the leading AI companies in medical imaging, today announced that it has received two new U.S. Food and Drug Administration (FDA) clearances for its AI tool AZchest.

AZmed to improve pediatric and emergency radiology in Canada

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.

AZ Turnhout expands use of AZmed’s AI to improve radiology diagnosis

AZtrauma, een FDA-goedgekeurde en CE-gecertificeerde AI-oplossing voor kinderen en volwassenen, wordt al twee jaar gebruikt op de dienst Radiologie van AZ Turnhout.

AZmed strengthens regulatory compliance with MDSAP certification

The startup has added another accolade to its portfolio, having earlier obtained ISO 13485 certification and regulatory approvals such as CE marking and FDA clearance for its AI solution.

RSNA 2024 interview with SimonMed Imaging

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.

AZmed is proud to be listed in the "Mapping des startups françaises de l’IA"

Mapping of French AI startups

Fracture detection AI solution AZtrauma recognized by NICE for NHS

Rayvolve, an AI radiology solution, which now encompasses multiple verticals: AZtrauma, AZchest, AZmeasure, and AZboneage (under development), is an AI solution designed primarily for radiology teams.

ECR 2025 & AI solutions in medical imaging

In order to address this growing shortage of healthcare professionals, AI solutions have emerged, particularly in medical imaging.

L’IA nella rilevazione delle fratture

La cura dei traumi nei reparti di emergenza si basa su una rapida e precisa individuazione delle fratture per alleviare il dolore dei pazienti e prevenire complicazioni gravi.

AZtrauma: AI in Fracture Detection and Care

Numerous studies highlight AI's ability to detect minute fractures that may go unnoticed. For instance, a study presented at RSNA 2023 found that AI was more effective than radiologists at detecting commonly missed fractures, suggesting that a radiologist associated with AI approach could improve detection.

استخدام الذكاء الاصطناعي في اكتشاف الكسور

تعتمد رعاية الإصابات في الطوارئ على سرعة ودقة اكتشاف الكسور. ويسهم الذكاء الاصطناعي في تسريع التشخيص، ورفع كفاءة الإجراءات، وتحسين سير العمل

Utilização de IA para detecção de fraturas em radiologia

A IA pode detectar fraturas? Sim, a IA pode detectar fraturas em imagens médicas, inclusive em raios X.

NHS to use AI technology for faster, more accurate fracture detection

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.

AZmed partners with Healthinc to drive AI adoption in radiology across Australia and New Zealand

AZmed, a leading company in AI for medical imaging, has partnered with Healthinc, a key distributor of radiology technology in Australia and New Zealand.

AZmed receives FDA clearance for AI-powered pediatric fracture detection solution

European MedTech startup AZmed has received 510(k) clearance from the US FDA for its Rayvolve solution that detects fractures on pediatric X-rays.

Artificial intelligence proves useful in radiology department at AZ Sint-Blasius

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.

Faster diagnosis for fracture detection thanks to artificial intelligence

The emergency physicians and radiologists at AZ Sint-Blasius have been using an AI application for fracture detection that allows them to make faster diagnoses based on RX images.

Impact of AI on fracture detection in radiology

Fracture Prevalence Over Six Months: The percentage of diagnosed acute fractures increased from 10.4% in 2022 (without AI) to 11.8% in 2023 (with AI).

AZmed secures FDA 510(k) clearance for Rayvolve in pediatric fracture detection AI

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.

Röntgeny vyhodnocuje v košickej univerzitnej nemocnici aj umelá inteligencia

KOŠICE. Univerzitná nemocnica L. Pasteura (UNLP) v Košiciach využíva na svojich urgentných príjmoch inovatívny softvér založený na umelej inteligencii (AI), ktorý urýchľuje diagnostiku zlomenín.

Faster diagnosis thanks to AI application in radiology

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.

AZmed secures €15 million to shape the future of medical imaging with AI

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.

AZmed secures €15 million - BFM Business

On Tuesday, February 20th, Julien Vidal, President of AZmed, discussed his company and its €15 million funding round on BFM Business.

SimonMed chooses AZmed as AI partner for X-rays

SimonMed Imaging, a leading name in outpatient imaging centers in the United States, has selected AZmed as its AI partner for X-ray diagnostics.

AI in radiology: The 2025 guide to clinical-ready tools [Using AI for X-ray]

Learn how AI in radiology is being used in clinical workflows like X-ray detection, reporting, and decision support.

AI cuts time for radiologists reporting fractures on x-rays

A commercially available AI algorithm that can prioritize x-ray exams when it detects fractures yields “tremendous reductions” in report turnaround times.

The cofounders of AZmed are nominated for Forbes 30 Under 30

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.

SideROS, BeFC, Orixha and AZmed to pitch their solutions at the EIT Health Catapult Programme final

AZmed, alongside SideROS, BeFC and Orixha, will pitch its solution at the final of the EIT Health Catapult Programme, held at the EIT Health Summit.