"From AI model to reliable care application with MLOps at LUMC"

Introduction

The cairelab is the center of expertise for AI in healthcare within LUMC. They specialize in supporting AI applications in healthcare, from the initial development phase to final implementation. The goal is to help healthcare professionals deploy AI safely and effectively, both in their own innovations and in purchased solutions. They actively collaborate with partners inside and outside LUMC and connect research, education, care and valorization.

Customer

LUMC

Tools/Techniques

Machine Learning, ML Engineering, MLOps, CI/CD, MLflow, Docker, Model Serving, Monitoring & Maintenance, FHIR/HL7, DICOM/PACS

Services

Data Science & AI

Industry

Healthcare

The goal-driven data solution

LUMC aims not only to develop and implement AI, but also to manage it sustainably within everyday healthcare practice. Therefore, the focus is on developing production-ready AI solutions that are scalable, reliable and responsibly deployable in a complex clinical environment. This includes an emphatic focus on responsible implementation within an on-premise and sovereign infrastructure, ensuring security, privacy and control over data and models. From model development and experiment tracking to CI/CD, model serving, monitoring, maintenance and integration with clinical systems, together we ensure that AI applications not only go live, but continue to perform well, are managed securely and can be continuously improved.

Data Science Lab acts as an effective flexible shell for our ML engineering team. Their ability to move quickly and think with us helps us deploy AI solutions scalably and responsibly in healthcare practice.

Alexander van Someren
Cases

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