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Foundation models rapidly emerge as a transformative force in medical imaging, leveraging extensive datasets and sophisticated pre-trained models to decode and interpret complex medical images. Our presentation will begin with an in-depth exploration of the essential concepts that underpin these models, with a special emphasis on the synergy between vision-language models and medical imaging. We aim to elucidate how the integration of prompts, language, and vision catalyzes a groundbreaking shift in the foundation of artificial intelligence. We will then analyze how these four critical elements - prompts, language, vision, and foundation models - will collaboratively shape state-of-the-art AI solutions in medical imaging. Our objective is to ignite a vibrant dialogue about leveraging the collective strength of these components at the SPIE Medical Imaging Conference.
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