GENEVA--(BUSINESS WIRE)--Medimaps Group, a Swiss/Global med-tech company specializing in clinical bone microarchitecture image-processing software with deep-tech and Artificial Intelligence (AI) capabilities, announced today the presentation of new data on its AI deep learning software model to opportunistically detect bone fragility on conventional X-ray modalities, at the American Society for Bone and Mineral Research annual congress (ASBMR) in Toronto, Canada, September 27-30..

日内瓦--（商业新闻短讯）--瑞士/全球医学技术公司Medimaps Group专门从事具有深度技术和人工智能（AI）功能的临床骨微结构图像处理软件，于9月27日至30日在加拿大多伦多举行的美国骨与矿物研究学会年会（ASBMR）上宣布，其AI深度学习软件模型的新数据将在常规X射线模式下机会性地检测骨脆性。。

“We know that 70% of patients at high risk of fragility fracture have never been referred for a DXA scan to address their osteoporosis. By developing an opportunistic screening tool, our goal is to address this gap,” said Prof. Didier Hans, co-founder and CEO of Medimaps Group. “Our new software model uses patients’ routine X-ray scans for other pathologies to analyze their bone microarchitecture and density, requiring no further examination time for patients nor radiologists.

Medimaps集团联合创始人兼首席执行官Didier Hans教授说：“我们知道，70%的脆性骨折高危患者从未接受过DXA扫描以解决骨质疏松症。通过开发机会筛查工具，我们的目标是解决这一差距。”。“我们的新软件模型使用患者对其他病理的常规X射线扫描来分析他们的骨微结构和密度，无论是患者还是放射科医生都不需要进一步的检查时间。

It flags patients who might present high risk bone fragilities, enabling their referral for further DXA examination. This is a smart way to use AI for early detection and subsequent prevention of osteoporosis fractures.”.

它标志着可能出现高风险骨脆性的患者，使他们能够转诊进行进一步的DXA检查。这是一种使用AI进行早期检测和随后预防骨质疏松性骨折的智能方法。”。

The new data will be presented by lead investigator Guillaume Gatineau, Ph.D. candidate in AI in the Interdisciplinary Center of Bone Diseases at Lausanne University Hospital, Switzerland, and Data Scientist at Medimaps Group, in the following sessions:

新数据将由首席研究员纪尧姆·加蒂诺（GuillaumeGatineau），瑞士洛桑大学医院跨学科骨病中心人工智能博士候选人和Medimaps Group的数据科学家在以下会议上提交：

Plenary Poster Session I Sept 27 I 5:30 - 7:30 PM

全体海报会议I 9月27日I下午5:30-7:30

Early Career Spotlight Rapid Fire Presentation I Sept 28, 2024 I 1:45 - 2:15 PM

早期职业聚光灯速射演示I 2024年9月28日I下午1:45-2:15

Poster Session 1 I Sept 28 I 2:15 - 3:45 PM

海报课程1 I 9月28日I下午2:15-3:45

Focused on minimizing false positives, the AI model underwent rigorous training and validation on over 25,000 lumbar-spine X-ray DICOM files. It demonstrated an impressive internal validation accuracy of 86% and external validation accuracy of 85%. These results demonstrate a significant reduction in false positives, which is important to prevent unnecessary referrals, addressing a common limitation of over-diagnosis often seen in some other AI diagnostic tools..

专注于最大程度地减少误报，AI模型在25000多个腰椎X射线DICOM文件上进行了严格的训练和验证。它证明了令人印象深刻的内部验证准确率为86%，外部验证准确率为85%。这些结果表明假阳性显着减少，这对于防止不必要的转诊很重要，解决了其他一些AI诊断工具中常见的过度诊断的常见局限性。。

For this study, Guillaume Gatineau will be awarded a Young Investigator Award from the ASBMR scientific committee in Toronto.

对于这项研究，GuillaumeGatineau将获得多伦多ASBMR科学委员会颁发的年轻研究员奖。

“Our opportunistic software’s robust specificity underscores its capacity to reduce false-positive rates, an important criterion for hospital centers and private practices when purchasing new AI applications. We expect to present further validation studies confirming the clinical relevance, generalizability and efficacy of our multi-modal software under development in the near future,” added Prof.

“我们的机会主义软件强大的特异性强调了其降低假阳性率的能力，这是医院中心和私人机构在购买新的人工智能应用程序时的重要标准。我们预计将提供进一步的验证研究，证实我们在不远的将来正在开发的多模式软件的临床相关性，普遍性和有效性，”教授补充道。

Didier Hans..

迪迪埃·汉斯。。。

Globally, over 37 million fragility fractures occur annually due to osteoporosis. The challenge lies in the under-identification of individuals at risk, resulting in missed opportunities for preventive treatment.

在全球范围内，由于骨质疏松症，每年发生3700多万例脆性骨折。挑战在于对处于危险中的个人的识别不足，导致错过了预防性治疗的机会。

References

参考文献

G. Gatineau M. Degruttola, G. Nguyen, M. Davies, K. Hind, M. Kužma, J. Payer, G. Guglielmi, A. Fahrleitner-Pammer, D. Krueger, N Binkley, D. Hans; Artificial Intelligence-Based, Automatic and Explainable Bone Fragility Detection from X-ray: a Multi-National Cohort Study; Oral presentation, ASBMR annual congress 2024.

G、 Gatineau M.Degruttola，G.Nguyen，M.Davies，K.Hind，M.Kužma，J.Payer，G.Guglielmi，A.Fahrleitner-Pammer，D.Krueger，N Binkley，D.Hans；基于人工智能的X射线骨脆性自动检测：一项多国队列研究；ASBMR 2024年年度大会口头报告。

About Medimaps Group

关于Medimaps组

Medimaps Group is a Swiss-based company developing and marketing deep-tech and AI imaging software to comprehensively assess bone microarchitecture and predict fracture risk in primary and secondary osteoporosis in clinical practice. By leveraging Trabecular Bone Score (TBS), our multimodal imaging software empower clinicians to improve detection of bone fragilities, initiate treatment plans, and monitor response over time.

Medimaps Group是一家总部位于瑞士的公司，开发和销售deep tech和AI成像软件，以全面评估骨微结构，并在临床实践中预测原发性和继发性骨质疏松症的骨折风险。通过利用小梁骨评分（TBS），我们的多模式成像软件使临床医生能够改进骨脆性的检测，启动治疗计划，并随着时间的推移监测反应。

Our lead product TBS iNsight™ (Osteo) has been used for years in clinical practice worldwide in the field of osteoporosis, and is established as the gold standard for bone texture assessment in clinical practice. It benefits from 4 category 1 CPT codes for US reimbursement. Learn more at www.medimaps.ai.

我们的主导产品TBS iNsight™（Osteo）已在全球骨质疏松症领域的临床实践中使用多年，并被确立为临床实践中骨纹理评估的金标准。它受益于美国报销的4个1类CPT代码。有关更多信息，请访问www.medimaps.ai。