9.40am - 10.40am
Sponsor Session
LECTURE: Artificial Intelligence in ophthalmology – what, how and when? - SpaMedica
CPD
1

CPD ref: C-102021

Description: Artificial intelligence (AI) based on deep learning (DL) has seen lots of global interest in recent years. DL has been widely adopted in image recognition, speech recognition and natural language processing, but is only beginning to impact on healthcare. In ophthalmology, AI and DL have been applied to fundus photographs, optical coherence tomography and visual fields, achieving robust classification performance in the detection of diabetic retinopathy, glaucoma, macular oedema and age-related macular degeneration. DL in ocular imaging may be used in conjunction with telemedicine as a possible solution to screen, diagnose and monitor major eye diseases for patients in primary care and community settings.

Target audience: Optometrist, Dispensing optician 

Domains and Learning outcomes

Clinical Practice 

s.5 Keep your knowledge and skills up to date

  • Practitioners will be updated on the application of artificial intelligence to identify ocular disease.

Speaker

Alex Silvester MBChB (hons) MSc MBA CMgr FCMI

Dr Silvester MBChB (hons) MSc MBA CMgr FCMI is an Ophthalmologist and Medical Director at SpaMedica. Alex has an interest in epidemiology and big data and is a member of the Vision Loss Expert Group which provides global technical leadership in the development of epidemiological estimates for blindness and visual impairment. Alex has published papers in high impact journals including the Lancet, the British Medical Journal and the British Journal of Ophthalmology. His work on reducing topical antibiotics following routine cataract surgery was shortlisted for a Public Health England Antibiotic Guardian award. He regularly presents at international conferences on improving cataract surgery outcomes, risk stratification, and clinical governance, most recently at the European Society of Cataract and Refractive Surgeons and the American Academy of Ophthalmology.