How Multimodal AI Is Impacting Healthcare

AI can process diverse data sources—ranging from medical images to genetic information to patient voice recordings—to help doctors make more informed decisions. While processing this data individually can deliver important insights, combining them can create a clearer, more complete picture of a patient’s health.This is called multimodal AI. For example, combining medical imaging with genomic data has been shown to improve the accuracy of cancer diagnosis and treatment planning. Integrating these different types of data is essential for improving the accuracy of disease diagnosis and treatment.Having built multimodal AI at Microsoft and later founded Mind Mosaic AI, I’ve seen its power in healthcare—especially for neurodivergent support. Multimodal AI helps integrate inputs from fragmented data—clinical notes, speech, signals, behaviors—into a holistic, personalized understanding of each patient’s needs.