AI for Health

Clinically useful intelligence for care, monitoring, and longitudinal health.

This program develops clinical AI systems for imaging, longitudinal health, monitoring, public health, and human-centred clinical workflows.

AI for Health themes
Mission

Build scalable, aligned AI systems that translate into clinically useful tools and inform policy, care, and health planning.

Current themes

Clinical AI assistants, imaging, cerebral palsy assessment, mental health, population health, patient trajectories, and longevity-related modelling.

Opportunities

Open to collaboration with clinicians, hospitals, researchers, public health teams, and partners working on high-impact health systems.

Program Areas

Clinical AI, imaging, and longitudinal health understanding.

Clinical AI assistants

Systems that observe, retrieve, reason, plan, recommend, and communicate with clinicians and patients in meaningful workflows.

Medical image analysis

Computer vision and multimodal systems for diagnosis, monitoring, and assistive clinical interpretation.

Trajectories and public health

Models of patient and population health through time, from mental health to epidemic and care-system forecasting.

Selected work
  • Recent advances in AI for biomedicine, 2025
  • Cerebral palsy assessment and video analysis work
  • Mental health treatment optimisation
  • Longitudinal modelling and AI in public health
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