AI Model Deployment in Healthcare: MLOps Innovations and Challenges

N Sreeja Vidya Sai Venkata

Authors

N Sreeja Vidya Sai Venkata Research Scientist, India. Author

Keywords:

MLOps, AI Model Deployment, Healthcare, Machine Learning, Data Privacy

Abstract

MLOps (Machine Learning Operations) in healthcare is revolutionizing the deployment and management of AI models, but it also presents unique challenges. This paper explores the critical challenges faced when deploying AI models in healthcare environments, such as data privacy concerns, regulatory compliance, and the need for robust infrastructure. It also highlights the latest innovations in MLOps practices, including automated monitoring, continuous deployment, and enhanced model explainability. By addressing both technical and operational aspects, the study provides insights into how MLOps can be effectively implemented to improve AI-driven healthcare solutions while ensuring reliability, scalability, and regulatory adherence.

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