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MLOps for Medical AI: CI/CD Pipelines for Model Deployment

TEF-Health Service
Consulting Virtual
Pricing/Discount Options: Call #2

Service Description

Overview: We offer AI pipelines designed to help streamline the entire AI lifecycle, from data pre-processing to model deployment. Based on CI/CD best practices, our approach ensures experiment tracking, data versioning and seamless integration of models into existing workflows. By incorporating bias mitigation strategies, Explainable AI (XAI) and continuous learning mechanisms, we ensure robust experiment tracking, data versioning and seamless integration into workflows, while maintaining high reliability and performance.

How can the service help you? Our service streamlines AI deployment by automating key processes such as data pre-processing, model training, bias detection and real-time adaptation. CI/CD integration ensures that updates and optimizations occur seamlessly, improving accuracy while reducing workload. Thanks to continuous learning, our AI models evolve with new data, maintaining their clinical relevance and reliability over time.

How will the service be delivered? The solution can be deployed on-site or in the cloud, with continuous support to ensure optimal performance throughout deployment and model integration.

Keywords: AI testing and validation Trustworthy AI Medical Image Analysis Deep Learning Algorithms Binary Classification Anomaly Localization AI Model Development Real-World Images Collaboration with Medical Staff AI Expertise Custom Pretrained Pipelines Clinical Imaging Image Segmentation Image Feature Extraction
Service categories: Model & Algorithm (Development, Optimization & Evaluation, etc.) Software (development, maintenance, deployment, administration, etc.)
TEF-Health Use Case Domain: all
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Provider & Contact

Billing: per person-day
Full Price 1144 EUR
Reduced Price 858 EUR
Pricing Detail

The reduced price value is indicative for a 10 day contract and can vary depenting on the total amount of effort and capacity of the service provider. Total effort depends on the applicant needs. The final price will be determined in the contract between the service provider and the applicant.

Operational Details

Service Inputs Code on repository and Dataset
Service Outputs Docker image
Dependencies & Restrictions GDPR