Model Ensembling

Case Studies

Can AI-driven automation optimize clinical workflows and enhance diagnostic accuracy?

Invene leveraged advanced LLM optimization techniques, including Model Ensembling with Self-MoA, fine-tuning of classification models, and multiple prompt engineering techniques, to enhance decision support and automate workflow processes in a clinical setting.

Transform Ideas Into Impact

Discover how we bring healthcare innovations to life.