Seeing the magic of artificial intelligence applications in ophthalmology

AI is being used in ophthalmology to analyse data, detect & classify retinal diseases, recommend personalised treatment plans, assist in precision surgery, & discover new drugs. It is important to ensure accuracy of data & compliance with regulatory requirements & constant collaboration with ophthalmologists. AI should complement, not replace, human clinicians.

We all know, by now, that Artificial Intelligence (AI) is a branch of computer science that focuses on creating computer systems and software that can perform tasks like problem-solving, learning, reasoning, understanding natural language, and perceiving the environment. The aim of AI is to develop systems that can mimic and replicate various aspects of human intelligence or cognitive functions, and thereby automate and enhance processes, make predictions, assist in decision-making, and improve the efficiency and capabilities of systems and devices.

If AI is touching everything in modern life, then it cannot possibly leave out medicine, can it?

There are certain aspects of artificial intelligence that make it particularly useful in medicine. For instance, AI can analyse data from sensors and predict when equipment or machinery will require maintenance, reducing downtime. This, as you can imagine, will be massively useful in hospitals and clinics, particularly in procedures and diagnostics, where we constantly use some form of machinery to treat patients. Additionally, AI can be used, with machine learning, to analyse and interpret images and videos, making it useful in reading and coming up with interpretations of scans and other diagnostics, based on the data we have fed it already. Already, robotics has been employed in precision surgery, with good outcomes, and faster recovery periods. AI is being used in commerce to tailor recommendations on social media, and it is to be seen whether this application might assist in patient care too. 

But the basic question that we must ask in medicine is: can a computer perform better than a human brain? Then the answer is Yes, particularly in the field of ophthalmology.

AI has made significant advancements in the field of ophthalmology, offering a range of potential applications that can improve patient care and enhance the efficiency of eye disease diagnosis and treatment. In fact, we are among the early adopters of AI for health care, and some of the key uses are:

Retinal disease diagnosis: AI algorithms can analyse retinal images, such as fundus photographs and optical coherence tomography (OCT) scans, to detect and classify various retinal diseases, including diabetic retinopathy, age-related macular degeneration (AMD), and glaucoma. These AI systems can help identify diseases at an early stage, allowing for timely treatment and reducing the risk of vision loss.

Automated screening: AI-powered screening programmes can assist in the early identification of eye diseases by analysing large datasets of retinal images. This can be particularly useful in regions with limited access to ophthalmologists, and in mobile medical camps.