Multimodal analysis and synthesis encompasses the integration, processing and generation of information from diverse data channels – such as text, images, audio and video – within a unified ...

AI experiences are becoming more multimodal, building on the foundation of breakthroughs with natural language to extend those capabilities to other modes such as voice and visuals.

A multimodal computational framework for patient stratification and prognosis prediction enables automatic identification of patient clusters, outperforming classical approaches for patients with ...

Ultimately, multimodal AI is more than just a technological breakthrough—it’s a powerful tool that can make healthcare more personal, effective and humane.