AI, LLMs and Health
Insights from a generative AI pioneer
From chatbots to cancer diagnosis: a pioneer who built generative AI at scale on where it's really going in health.
AI and large language models are evolving into full-stack systems, and health is one of the areas where that matters most. Multimodal medical models can now combine pathology, imaging and genomics to support diagnosis.
Prof. Hongxia Yang, who built foundation model teams at Alibaba and ByteDance, shared real-world results from AI in pathology and MRI analysis, how clinicians and AI can work together, and her vision for AI-native health systems that can be deployed anywhere using local data.
What we covered- How AI and LLMs are becoming full-stack systems
- Multimodal medical foundation models for high-accuracy cancer diagnosis
- Real-world results in pathology slide analysis and MRI recognition
- Frameworks for clinicians and AI working together
- Scalable, AI-native health ecosystems built on localised data
Twelve breakfasts, twelve experts, 25 senior leaders, in the André Fu Suite at Upper House.
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