TRAIN members aim to improve the quality, safety, and trustworthiness of AI in health through collaboration. They will do this by sharing best practices, and by facilitating the development of a federated AI outcomes registry for organisations to share among themselves, thereby ensuring data privacy is maintained.

Will Monaghan, group chief digital information officer, said: 'The potential for AI to advance and improve healthcare is huge, and we are intent on realising its potential responsibly.

'Joining forces with organisations across Europe will mean we can share the knowledge and tools that will support ethical implementation.'

Membership of the consortium reflects the UHL and UHN Group's work to test and embed AI solutions for the benefit of patients, communities and colleagues. The organisations are trialling ambient voice technology to capture notes from patient consultations, working with Microsoft to develop AI in the use of clinical coding, and testing AI translation platforms that can convert health information videos into a range of languages within seconds.