Developing and disseminating high quality research evidence for efficacy, efficiency and safety is critically important to us. We have a dedicated team of expert clinicians who work with our healthcare partner sites to evaluate the effect of Dora on all our stakeholders.

Can large language models safely address patient questions following cataract surgery?

Ernest Junwei Lim; Mohita Chowdhury; Aisling Higham; Rory McKinnon; Nikoletta Ventoura; Yajie Vera He; Nick de Pennington Investigative Ophthalmology & Visual Science (2023)

Ethics in conversation: Building an ethics assurance case for autonomous AI-enabled voice agents in healthcare.

Marten H. L. Kaas, Zoe Porter, Ernest Lim, Aisling Higham, Sarah Khavandi, and Ibrahim Habli. Proceedings of the First International Symposium on Trustworthy Autonomous Systems (TAS ’23)

User-acceptability of an automated telephone call for post-operative follow-up after uncomplicated cataract surgery.

Khavandi, S., Lim, E., Higham, A. et al. Eye (2022).

Can deep learning models understand natural language descriptions of patient symptoms following cataract surgery? 

Gardiner, O., Chowdhury, M., Lim, E., Higham, A., de Pennington, N. Invest. Ophthalmol. Vis. Sci. 2022;63(7):1694 – F0012.

Patient acceptability of telephone follow up after cataract surgery

Khavandi SLim EMole G,