Speakers

Read more - Stream 2, Session 4 Chair: AI in clinical leadership

Read more - Stream 3, Session 1: UK Information Governance

Dominic is fascinated by digital disruption, namely, how digital can be used to streamline and automate healthcare and the services provided, that means staff are supported to provide better care for patients. Any large-scale transformational changes need spread and adoption. This involves taking people on a journey as systems are changed but more importantly making them part of the decisions for change. Helping people become partners in their own health well being by using apps and other digital technologies in order for the prevention and management of their own health.

Dominic wants to facilitate digital innovation by bringing all the relevant people around the table, including digital experts as well as managers, staff and service users. This is so they can understand digital trends, the benefits of technology and the limitations, which is imperative when planning for change and how a range of connecting and converging digital health technologies are challenging existing service models.

As part of the digital transformation of health services, Dominic is interested in looking at "the uberisation of healthcare". What do projects like Google Deepmind and IBM Watson, Chatbot AI’s, Internet of Things etc have to offer for the underlying opportunity to rethink public health?

Stream 2, Session 4: How leadership is critical for the deployment of AI 

Rob leads the deployment of AI in Diagnostics for NHS England. He is a strong advocate for building communities for transformation initiatives, using mutual support and shared learning to achieve better outcomes. After leaving the Army, Rob worked in the private sector before joining NHS Digital in 2017. He has led teams delivering integration between GP systems and the e-Referral Service, the reduction of screening age for Bowel Cancer Screening and is currently leading the implementation of Digital Capability in Diagnostic Imaging and Pathology networks.

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.