Archive for August, 2024

Michelle & Susannah N

Highly recommend. Professor Gartry pioneered the lasik treatment in 1989, an expert in his field. I couldn’t imagine going anywhere else for it. Thrilled with the result, my vision is better than I hoped. A truly transformative surgery.

Mateusz M

My experience with Dr Gartry and his staff has been nothing short of first class – from the very first consultation right through to the 3 month post operation check up. I underwent the LASIK eye surgery and had chosen Dr Gartry based on recommendation and given he is the most experienced surgeon in the UK this area – the safest pair of hands you can choose! I am delighted to say that he has exceeded my expectations and I cannot recommend him enough – the whole process was simple, fully explained and I felt cared and looked after each step. I was able to book my surgery two weeks following my first consultation and the actual surgery took less than 15 minutes. I ended up having 20/10 (air force

Lynsey M

I had LASEK with Dr Gartry back in January 2017 for my wedding. I was one of the small percentage of people not to achieve near perfect vision so had a complimentary top up. Now, 7.5 years later my prescription is 0 and -0.25 which im thrilled with. It is SO liberating to not need glasses. All those little things like reaching for your glasses in the night to pop to the bathroom or falling asleep in your contacts or glasses and loosing them in the bed. Gone. I’d recommend it to anyone suitable. It’s very straightforward, a quick and painless procedure. You don’t know Dr Gartry is even performing the procedure there’s no burning or pain, just a noise.

You’re in excellent hands with Dr Gartry. If you can, do it. Be liberated. It’s a wonderful feeling.

Artificial intelligence in eye care

Artificial Intelligence (AI) has attracted a huge amount of interest and excitement over the past 10 years. The most publicised application is in relation to language processing, for example as with ‘ChatGPT’, but other applications are almost infinite and include transportation and traffic management (including facilitating self-driving cars), increasing energy efficiency, aiding public safety, crime detection, facial recognition and object detection. AI also has widespread applications in the management of large datasets, analysis of data, identifying patterns, and data-driven diagnosis and decision-making.

It is in this latter context that AI is having a great impact in medicine and surgery – and especially in ophthalmology. Any medical specialty that uses digital imaging such as pathology, radiology and ophthalmology will be revolutionised by AI. In ophthalmology, as in other medical specialties, imaging has transformed diagnosis and patient management since the first X-Ray. Now, with CT and MRI scanning, ultrasonography, corneal imaging and retinal optical coherence tomography (OCT) to name just a few examples, being able to analyse very large datasets and utilise machine learning (ML) to improve diagnosis and management is a huge advantage for doctors and other health-care professionals. For example, with regard to corneal conditions such as keratoconus (see below scans), which can be difficult to diagnose in the early stages, AI can use information from very large databases with deep learning (DL) to improve diagnosis and predict which patient could be at risk of developing the condition in later life. A decision to treat the patient – or monitor closely can then be made.

These scans demonstrate keratoconus:

A scan which demonstrates keratoconus

 

A scan that demonstrates a patient with keratoconus

 

I have included 3 scientific review articles below (and in the reference section of this website) written by colleagues of mine at Moorfields Eye Hospital, London, in collaboration with scientists and physicians around the world, for those who might like to learn more about this exciting technology.

  1. Artificial Intelligence in Cornea, Refractive Surgery, and Cataract: Basic Principles, Clinical Applications, and Future Directions
    – Radhika Rampat, Rashmi Deshmuhk, Xin Chen, Daniel S W. Ting et al.
    – Asia-Pacific Journal of Ophthalmology; Volume 10: Number 3, May/June 2021, p268-281.
  2. Artificial intelligence and deep learning in ophthalmology
    – Daniel She Wei Ting, Louis R Pasquale, Lily Peng, John Peter Campbell et al
    – Br J Ophthalmol. 2019;103:167-175
  3. Deep learning in ophthalmology: The technical and clinical considerations
    – Daniel S W Ting, Lily Peng, Avinash V Varadarajan, Pearse A Keane et al.
    – Progress in Retinal and Eye Research;72: (2019) 1-24