Latest news with #CINA-VCFQuantix
Yahoo
21 hours ago
- Business
- Yahoo
Avicenna.ai scoops CE marks for two AI fracture detection tools
French artificial intelligence (AI)-based medical imaging company has secured CE marks for a pair of radiologic screening tools to detect fractures from CT scans. CINA-VCF Quantix is an AI algorithm is used to detect unsuspected vertebral compression fractures (VCFs) in patients undergoing CT scans for unrelated conditions, while CINA-CSpine is designed for the detection and triage of cervical spine fractures. Both tools gained 510(k) clearance from the US Food and Drug Administration (FDA) in 2024, while the tools' receipt of CE mark follows clearance on five other AI tools in 2024 under the EU's Medical Device Regulation (EU MDR). For use in patients aged 50 and above who are undergoing patients undergoing CT scans of the chest or abdomen for other conditions, CINA-VCF Quantix automatically labels vertebrae and calculates vertebral height loss ratios in the thoracic and lumbar spine. In cases where a vertebral height loss ratio exceeds 20%–25%, a figure indicative of a moderate- to severe VCF, the algorithm generates prompts notifying radiologists to report their early findings in support of proactive patient care, Avicenna stated. co-founder and CEO, Cyril Di Grandi commented: "Osteoporotic vertebral fractures can have a profound impact on patients' quality of life. "By encouraging the reporting of VCF presence and severity, CINA-VCF Quantix has the potential to make a real difference in long-term patient outcomes." CINA-CSpine is designed to automatically flag suspected acute cervical spine fractures through radiologists' existing systems. Di Grandi continued: "The launch of CINA-CSpine in the European market marks a significant step forward in trauma care. By reducing the time between scan and diagnosis, we're helping radiologists catch cervical spine fractures faster and more reliably.' A 2023 report on AI in healthcare by GlobalData forecasts that global revenue for AI platforms across the sector will reach a valuation of almost $19bn by 2027, with the radiology field seeing some of the highest implementation of AI technologies. Research indicates that thoracolumbar fusion procedures, one of the most common spine surgery types, are in growing demand, with thoracolumbar procedures such as anterior lumbar interbody fusion (ALIF) and posterior lumbar fusion (PLF) in the US projected to see respective rises from 46,903 to 55,528 and 248,416 to 297,994 between 2020 and 2040. According to GlobalData, the spinal fusion market segment, of which thoracolumbar fusion is a part, is growing at a CAGR of 2.3% and forecast to reach a valuation of around $11.23bn by 2033. " scoops CE marks for two AI fracture detection tools" was originally created and published by Medical Device Network, a GlobalData owned brand. The information on this site has been included in good faith for general informational purposes only. It is not intended to amount to advice on which you should rely, and we give no representation, warranty or guarantee, whether express or implied as to its accuracy or completeness. You must obtain professional or specialist advice before taking, or refraining from, any action on the basis of the content on our site. Errore nel recupero dei dati Effettua l'accesso per consultare il tuo portafoglio Errore nel recupero dei dati Errore nel recupero dei dati Errore nel recupero dei dati Errore nel recupero dei dati
Yahoo
2 days ago
- Health
- Yahoo
Avicenna.AI Secures CE Mark for Two Spine-Focused Medical Imaging AI Tools
EU certification granted for AI algorithms for vertebral compression fracture quantification and cervical spine fracture detection. MARSEILLE, France, June 5, 2025 /PRNewswire/ -- Medical imaging AI company today announced that it has received CE Mark certification for CINA-VCF Quantix, a new AI algorithm designed to detect and assess unsuspected vertebral compression fractures (VCFs) in patients undergoing CT scans for unrelated conditions. The company also secured CE Mark certification for CINA-CSpine, an AI tool designed to detect and triage cervical spine fractures from CT images. The CE mark signifies that both products meet the stringent health and safety standards required by the European Union, enabling them to be deployed across the European Economic Area without additional regulatory barriers. VCFs, often caused by bone deterioration due to osteoporosis, can lead to significant pain, deformity, and height loss. In the U.S. alone, approximately 750,000 adults suffer osteoporotic VCFs annually, but nearly two-thirds go undiagnosed, increasing the risk of further fractures and complications. CINA-VCF Quantix is intended for patients aged 50 and older undergoing CT scans of the chest and/or abdomen for other conditions. The tool automatically labels vertebrae and calculates vertebral height loss ratios in the thoracic and lumbar spine. If a vertebral height loss ratio exceeds 20%–25%, indicating a moderate to severe VCF, CINA-VCF Quantix generates a passive notification, prompting radiologists to report early findings and supporting proactive patient care. "Osteoporotic vertebral fractures can have a profound impact on patients' quality of life. The launch of CINA-VCF Quantix in Europe represents a major step forward in preventive care, empowering clinicians to intervene before minor fractures escalate," said Cyril Di Grandi, co-founder and CEO of "By encouraging the reporting of VCF presence and severity, CINA-VCF Quantix has the potential to make a real difference in long-term patient outcomes." Cervical spine fractures, typically caused by trauma, involve breaks in one or more of the seven cervical vertebrae in the neck. If the spinal cord is affected, these fractures can cause neurological damage or paralysis. Early diagnosis and treatment are critical to improving outcomes and minimizing long-term complications. CINA-CSpine automatically flags suspected acute cervical spine fractures, alerting radiologists through their existing systems for faster diagnosis and intervention. "The launch of CINA-CSpine in the European market marks a significant step forward in trauma care. By reducing the time between scan and diagnosis, we're helping radiologists catch cervical spine fractures faster and more reliably — a crucial advance when every minute counts," said Di Grandi. "CINA-CSpine serves as a second pair of eyes, enhancing diagnostic confidence and ultimately improving patient outcomes across Europe." All of products are seamlessly integrated into radiologists' clinical workflow, automatically triggering and reporting algorithm results through the systems already used by radiologists. The company's product portfolio also includes AI tools for: Intracranial hemorrhage (CINA-ICH) Large vessel occlusion (CINA-LVO) Aortic dissection (CINA-AD) Pulmonary embolism (CINA-PE and CINA-iPE) Vertical compression fractures (CINA-VCF) And ASPECT Score for quantification of stroke severity (CINA-ASPECTS). About in 2018, specializes in providing healthcare AI solutions that utilize deep learning to identify, detect, and quantify severe pathologies from CT medical images. Co-founded by Cyril Di Grandi, a successful entrepreneur who previously co-founded Olea Medical, and Dr. Peter Chang, an internationally recognized radiologist, and an expert in AI and deep learning, aims to accelerate therapeutic decision-making processes and enhance patient outcomes through its AI-based radiology solutions. For additional details, stay connected with us on social media and explore website at View original content: SOURCE
