AI is reshaping healthcare, driving advances in diagnostics, personalized treatment, and operational efficiency. In clinical settings, AI outperforms humans in detecting early-stage cancers, extracts insights from notes, predicts patient deterioration, and powers remote monitoring. In non-clinical areas, providers and payers use GenAI and agentic AI to optimize costs and streamline administration. While challenges around data privacy and bias remain, AI adoption is accelerating, with record investments and mainstream implementation across global health systems.

• How can you improve know-how on implementation of data-oriented services that address core healthcare needs?
• How would AI need to process unstructured data and imaging data?
• How can technology assist in personalized and pro-active care?