Hospital eye clinics receive many referrals from high street optometrists. A significant proportion relate to problems with the retina. The best way to detect problems of the retina is by doing Optical Coherence Tomography (OCT). Although many high street opticians are equipped with this technology, there are few trained staff for interpreting OCT scans. Revolutionising technology based on Artificial Intelligence (AI) and tele-ophthalmology has been developed that can read OCT scans and advise on referral.
This project will investigate facilitators and barriers to implementing the AI and tele-ophthalmology platform at scale. It will involve high street optometry practices with OCT and hospital based clinics.
The detailed project plan will be developed in collaboration with the student, so as to build on the skills and interests of the student as well as those of the current project team. It will involve qualitative or mixed methods, potentially including observations of consultations and other relevant clinical work, interviews with patients and health professionals, and prototyping and testing of novel interfaces to the platform.
Applicants are expected to have a first degree in computing, psychology or a design discipline (First class or 2(i) Honours), and will ideally also have a Masters in Human–Computer Interaction or a closely related discipline. They will also have an interest in Artificial Intelligence applications in healthcare, and experience of qualitative research methods.
The successful candidate will be enrolled in the EPSRC Centre for Doctoral Training in Intelligent, Integrated Imaging in Healthcare (i4health).
Please send a CV and covering letter expressing your interest to Prof Ann Blandford ([email protected]) by 31st March 2020. Informal enquiries can also be made to Ann Blandford.