Multimodal Generative AI

Prosjektbeskrivelse

The Multimodal Generative AI project explores the integration of advanced generative AI models with multimodal medical data to enhance clinical decision-making, medical documentation, and personalized patient care. By combining diverse data sources, the project aims to develop AI-driven solutions that generate meaningful insights, improving healthcare efficiency and diagnostic accuracy. The project leverages state-of-the-art generative models to bridge gaps between different data modalities, enabling more comprehensive and interpretable healthcare analytics.

Mål

The primary goal of this project is to develop and evaluate generative AI models capable of synthesizing and integrating multimodal healthcare data to support clinical workflows, enhance patient outcomes, and streamline medical documentation. The project aims to:

• Generate AI-driven clinical summaries.
• Develop cross-modal AI models that can transform information from one modality to another.
• Create synthetic multimodal datasets for training robust AI models while preserving patient privacy.
• Improve clinical decision support by providing AI-generated recommendations based on multimodal patient data.

Konklusjon

By advancing multimodal generative AI, this project will pioneer next-generation AI solutions for healthcare, contributing to improved diagnostics, treatment personalization, and clinical workflow automation.