Experts in health from the United Kingdom, United States, India and Australia will present at the Artificial Intelligence in Eye Care – Including Indigenous Perspectives Conference, taking place in Broome, Western Australia, immediately following the Royal Australian and New Zealand College of Ophthalmology’s (RANZCO) annual scientific congress.
Ophthalmologists, optometrists and orthoptists are invited to attend this free conference that will examine the principles and ethical implications of the deployment of artificial intelligence (AI) diagnostic tools, including:
• Safety and quality of care provided to patients,
• Patient data privacy and protection,
• Appropriate application of medical ethics,
• Equity of access and equity of outcomes through elimination of bias,
• Transparency in how algorithms used by AI tools are developed and applied, and
• Where responsibility for the final decision on treatment rests.
A discussion session with Aboriginal healthcare leaders regarding the ethics of AI research will be open to eye care and non-eye care professionals.
Experts in AI and Eye Health
The following leaders in AI and eye health will present at AI in Eye Care – Including Indigenous Perspectives Conference:
Dr Pearse Keane
Ophthalmologist Dr Pearse Keane from Moorfields Eye Hospital and University College London, was listed on the “The Power List” by The Ophthalmologist magazine; a ranking of the Top 100 most influential people in the world of ophthalmology. A leader in AI ophthalmic devices, in 2016 Dr Keane initiated a formal collaboration between Moorfields Eye Hospital and Google DeepMind, with the aim of developing AI algorithms for the earlier detection and treatment of retinal disease.
Professor Robyn Guymer AM
Robyn Guymer is a Professor of Ophthalmology at Melbourne University, the Deputy Director of Centre for Eye Research Australia (CERA), and a clinician scientist who leads a team of CERA researchers primarily investigating age-related macular degeneration. Prof Guymer has led many trials and innovations in the home-monitoring space. She is also a senior retinal specialist at the Royal Victorian Eye and Ear Hospital.
Rory Pigram
Rory Pigram is a Product Manager on the Google HealthAI team in California. In this role Mr Pigram focuses on transforming machine learning research into AI-based products that have impact in the real world. The products he manages aim to improve detection of eye-related diseases from ocular images, and detect active pulmonary tuberculosis from chest radiographs.
Mark Chia
Mark Chia is a PhD candidate at University College London and an ophthalmology trainee-to-be in Melbourne. His research spans Indigenous eye health prevalence, AI diagnostic validation for Aboriginal Australians, and novel biomarkers in multimodal ocular imaging, including optical coherence tomography-angiography.
Dr Xavier Hadoux
Dr Xavier Hadoux is a Postdoctoral Research Fellow in ophthalmic neuroscience at CERA in Melbourne and the Chief Technical Officer at Enlighten Imaging. He has applied his engineering, physics and data science knowledge to medical device development and the detection of novel biomarkers for eye and brain disease.
Professor Angus Turner
Professor Angus Turner is the McCusker Director of Lions Outback Vision, a service delivery and research unit focussed on areas of unmet need in regional locations and Indigenous communities. At the AI in Eye Care conference, Prof Turner will describe the real world use of AI diagnostic applications and its potential to augment current collaborative care telehealth.
Registration is Free
With kind support from Cable Beach Resort and Kerry and Christine Stokes, Broome – the host ‘country town’ – is looking forward to impressing delegates to the conference as the weather starts to warm.
Registration to the AI in Eye Care conference – Including Indigenous Perspectives is free and subsidised accommodation is available thanks to sponsors Roche, Bayer, Apellis, Topcon, Zeiss, and the Fred Hollows Foundation.
To find out more, contact Rebecca Halliwell: (AUS) 08 9381 0801.
