Publications by authors named "L M Nail"

Objective: Management of osteoarticular infections (OAI) represents a major public health challenge. To deal with this, the French Ministry of Health created the (CRIOAC) in 2008. CRIOAC functions as a national network of reference centers for OAI, with the aim of coordinating, providing expertise, offering training, and conducting research at the regional level.

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Background: Total hip, knee and shoulder arthroplasties (THKSA) are increasing due to expanding demands in ageing population. Material surveillance is important to prevent severe complications involving implantable medical devices (IMD) by taking appropriate preventive measures. Automating the analysis of patient and IMD features could benefit physicians and public health policies, allowing early issue detection and decision support.

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Article Synopsis
  • Superficial leiomyosarcoma is a rare soft tissue tumor from smooth muscle cells, making up about 2-3% of superficial sarcomas, with a slight age preference for patients around 50-60 years.
  • This study analyzed 26 cases of leiomyosarcoma to understand their clinicopathological features and treatment outcomes, identifying more cases in the cutaneous subtype compared to the subcutaneous subtype.
  • Results showed that even with clear surgical margins, patients had a notable risk of recurrence and metastasis, particularly to the lungs, bones, and liver, highlighting the need for long-term monitoring.*
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Introduction: For over 10 years, the RM Pressfit cup™ has been used in our department. This is a one-piece, elastic, cementless implant designed with standard polyethylene (PE), covered with a thin coating of titanium particles. To date, there is no French study evaluating this cup after more than 10 years.

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Article Synopsis
  • Electronic health data for implantable medical devices (IMD) allows real-time monitoring of risks, especially as joint surgeries like hip and knee replacements increase due to an aging population.
  • A machine learning tool utilizing natural language processing (NLP) was created to automatically extract and analyze operation details from orthopedic medical reports, achieving excellent precision (97.0%) and recall (96.0%).
  • By automating data extraction and monitoring of orthopedic devices through clinical data warehouses, the tool aims to enhance patient safety, support surgeons and policymakers with actionable insights, and improve compliance in medical reporting.
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