Speakers

Read more - Stream 1, Session 1 Chair: How to get started 

Read more - Stream 1, Session 5: AIDF successful team building - at Imaging network level

Amrita has been recently named 2022 Top 50 Innovator and 2023 Top 60 Influential Woman in the UK for leading innovation in the use of AI within the NHS. She was appointed as a substantive Consultant Radiologist at Frimley Health in 2013 with a subspecialist interest in breast cancer screening. She has a keen interest in Artificial Intelligence and has set up trust wide research collaboration to implement a digital enabled AI infrastructure, as well as implement novel AI software for improved detection of breast and lung cancer.

Ultimately, her aim is to have a positive social impact on cancer screening within the NHS integrated with AI, working in conjunction with various stakeholders with a mission statement of patient and value-focused healthcare. She has also been appointed Chair at the British Institute of Radiology National Clinical Intelligence & Informatics Committee to look at the national integration and implementation of AI into clinical practice.

Read more - Stream 1, Session 6: Use of Foundation Models in healthcare AI

Read more: Stream 2, Session 4: Developing ethical pipelines

Pearse Keane is Professor of Artificial Medical Intelligence at UCL Institute of Ophthalmology, and a consultant ophthalmologist at Moorfields Eye Hospital NHS Foundation Trust. He is also Director of the INSIGHT health data research hub programme based at Moorfields Eye Hospital.

Since 2020, Pearse has been funded by UK Research and Innovation (UKRI) as a Future Leaders Fellow, and in 2023 he became a National Institute for Health Research (NIHR) Senior Investigator. He is originally from Ireland and received his medical degree from University College Dublin (UCD), graduating in 2002.

In 2016, he initiated a collaboration between Moorfields Eye Hospital and Google DeepMind, with the aim of developing artificial intelligence (AI) algorithms for the earlier detection and treatment of retinal disease. In August 2018, the first results of this collaboration were published in the journal, Nature Medicine.

In October 2019, he was included on the Evening Standard Progress1000 list of most influential Londoners (https://www.standard.co.uk/news/the1000) and in June 2020, he was profiled in The Economist (https://www.economist.com/technology-quarterly/2020/06/11/the-potential-and-the-pitfalls-of-medical-ai).

In May 2020, he jointly led work, again published in Nature Medicine, to develop an early warning system for age-related macular degeneration (AMD), by far the commonest cause of blindness in many countries. In 2023, he led the development of RETFound, the first foundation model in ophthalmology, published in Nature and made available open source.

In 2022, he was listed in the “Top 10” of the “The Power List” by The Ophthalmologist magazine, a ranking of the Top 100 most influential people in the world of ophthalmology https://theophthalmologist.com/power-list/2022.

Matthew leads the AWS Global Health and Non-Profit Data, AI and Analytics team. The team includes business development specialists, solution architects and data scientists, who work directly with AWS customers to accelerate adoption of leading-edge analytics, AI and Generative AI technologies.  Recent customer projects include multimodal cancer patient stratification, automated literature review, and AI-based medical information systems. Prior roles to AWS include Director AI for Deloitte UK and European Lead for Watson Health at IBM. In these roles he led delivery of pan-European analytics and real-world evidence platforms, AI triage solutions, and worked with international governments on national data strategies and the application of AI and other emerging technologies for policy development and provision of public services. Matthew holds a PhD in Biological Sciences from Imperial College London.