Machine learning, AI and robotics in health

A wide range of digital health technologies can prevent ill-health, promote well-being and support the delivery of health and social care. At CHT, we are investigating the development and use of humanoid and companion robots, and other digital devices, such as voice activated assistants, to transform the provision of health and care, from assistive living and health monitoring to cognitive training and social engagement. 

Enabled by artificial intelligence (AI) and machine learning, these technologies are able to interact with and respond to people, adapting to their behaviour, emotions and needs to better support their health and wellbeing.

There are also numerous applications of AI/ML, either used in conjunction with other technologies, such as assistive music technology, or to leverage real world data to provide insights as to which patients can benefit from, for example, home-based technologies for earlier management of health risks, to increase the wellbeing of patients and lower potential future costs to the NHS.  

Whether applied to specific groups (such as childbearing women with Epilepsy) or local populations as a whole, we have a strong record of applying AI and statistics in health and biomedical informatics to identify the complex interactions between socioeconomic, cultural and environmental factors that contribute to individual- and population-level health outcomes.