Focus areas

A holistic approach to the human body

Ever-evolving and always-expanding, our research currently focuses on the following key areas.

Mental health

Applying AI to improve the detection, monitoring and counselling support of mental health conditions, enhancing clinical decision-making and patient outcomes.

Pathology

Building intelligent systems that bridge AI and clinical medicine — leveraging foundation models, autonomous agents, and physics-informed learning to advance medical image understanding across diverse imaging modalities.

Ophthalmology

Developing AI systems for retinal image analysis spanning foundation models, oculomics, and multi-agent architectures — enabling earlier detection of both ocular and systemic diseases from the eye.

Dermatology

Developing computational methods that transform skin disease detection and management, from building dermatology foundation models to exploring how skin imaging can reveal biological ageing.

Neurology

Using AI algorithms to better detect neurological conditions, identify patterns and abnormalities, and enhance therapy planning and clinical decision support.

Embodied AI

Building intelligent visual systems that bridge embodied AI and clinical medicine, leveraging 3D scene understanding, multimodal agents, and geometry-aware reconstruction for surgical scenarios and digital twins.

AIM for Health Lab