Automated Literature Review in Medical Device Innovation
End-to-end AI-powered review pipeline, NLP/ML extraction, regulatory compliance, time-to-market acceleration.
MedTech Impact
Acceleration of regulatory literature reviews for medical devices
Project Details
NOE Medtech
MedTech – Extraction, Selection and Analysis of Scientific Articles
2021–2023
Mission
Scientific Lead & Data Scientist – Extraction, Selection and Analysis of Scientific Articles
ML for Clinical Literature Review
Long-term mission / Lille, Loos & Remote, France
Development of an algorithm for extraction and selection of scientific articles dedicated to clinical evaluation of medical devices. Design of an automated pipeline combining web scraping, machine learning and interactive visualization to accelerate the constitution of clinical evaluation reports (CE marking).
Contexte & Environnement
NOE, a medical device specialist, needed to accelerate innovation while respecting regulatory compliance, requiring complete automation of clinical literature reviews. The complexity of regulatory requirements (MEDDEV 2.7/1, MDCG) and the need for complete traceability required advanced AI solutions.
1 Scientific Lead & Data Scientist / 1 Deeptech startup (WEEKI) / 1 Expert firm (B CONSULTANT)
Python SaaS with Dash (Plotly), Docker, Heroku/Cloud
Objectifs Cles
Technologies & Infrastructure
Ready to Achieve Similar Results?
Let's discuss how we can drive measurable impact for your organization.
Other Business Cases
Explore how we drive results across industries
MLOps GenAI & LLM Production at Scale
Retail/MLOps
Industrializing ML & GenAI models from POC to production on GCP with Kubernetes, observability (Datadog), security (Vault), and CI/CD automation for multiple LLM-powered products.
Learn moreAI-Driven Pricing & Revenue Optimization
Manufacturing/Pricing
Propensity scoring and what-if pricing simulator using XGBoost with SHAP/LIME explainability, enabling sales teams to optimize margins with actionable price corridors.
Learn more
Revolutionizing Employee Engagement with Explainable AI
HR Analytics
Advanced ML (XGBoost, LightGBM, SHAP, LIME) for 25 years of HR data: actionable insights, targeted retention, clear dashboards, transparent recommendations.
Learn more