New datasets and compute time will make Nightingale AI sing

Professor Aldo Faisal, Director of AI4Health at the launch of the Gen AI Hub (credit: Michelle McGrath)

Nightingale AI has secured the data and processing needed for its next phase of development, paving the way for a “new quality of AI for healthcare”.

The healthcare AI model, led by Hub researchers at Imperial College London, will draw on large UK, EU and US health datasets to help scientists and medical specialists with applications such as developing treatments, diagnosing patients and monitoring illness.

The data, along with the one million hours of GPU compute time on Isambard-AI in Bristol recently awarded to Nightingale AI by the government, allows the team to train a ‘world’ model that could help researchers and clinicians answer a wide range of health-related questions.

Hub investigator Professor Aldo Faisal will lead a team of doctoral and PhD researchers to train Nightingale AI using data provided partly by CHOC, a leading US paediatric healthcare system.

Nightingale AI is led by Imperial in partnership with leading universities in the UK and Europe. It is receiving funding from the Gen AI Hub the Horizon Europe programme DVPS, and the  UKRI Centre for Doctoral Training in AI for Healthcare (AI4Health).

Professor Faisal said: “By securing access to large scale data and the full compute power of Isambard-AI, we’re ready to unlock a completely new quality of AI for healthcare, driving medical advances but also being able to offer every individual patient a tailored medical advice, treatment and referrals.”

Nightingale AI co-lead Dr Marek Rei, said: "While there are many language models that will try to answer some medical questions, we are building a model designed specifically for combining knowledge from different types of medical data."

You can read the full story here: imperial.ac.uk/news/271293/health-model-nightingale-ai-powers-ahead/