Glaucoma

Glaucoma is an eye disease that can cause damage to the optic nerve, which is responsible for transmitting visual information from the eye to the brain. It is often associated with increased pressure within the eye, although some forms of glaucoma can occur even with normal eye pressure.

Glaucoma is the most common cause of irreversible blindness. In many cases, glaucoma may be asymptomatic, meaning it shows no symptoms. However, as it progresses, it can cause peripheral vision loss and, in severe cases, even blindness. Half of those living with glaucoma are unaware that they are affected.

There are several types of glaucoma, including open-angle glaucoma and angle-closure glaucoma. Open-angle glaucoma is the most common type and is often referred to as the “silent thief of sight” because it can cause vision loss without any noticeable symptoms until the later stages of the disease.

While there is no cure for glaucoma, early detection and treatment can help slow or prevent vision loss. Treatment options may include eye drops, oral medications, laser therapy, or surgery, depending on the type and severity of the disease.

If you are at risk for glaucoma, such as being over the age of 60, having a family history of the disease, or having certain medical conditions, it is important to have regular eye exams to detect any early signs of the disease. Your Optometrist can recommend the appropriate screening frequency for your individual situation.

We use the latest OCT (sonar machine for screening the optical nerve) and a tonometer for measuring intra-ocular pressure.

Algorithms are increasingly being used in glaucoma disease monitoring to improve the accuracy and efficiency of diagnosis, treatment, and management. These algorithms use complex mathematical calculations and machine learning techniques to analyze data from various tests, such as visual field tests, optical coherence tomography (OCT) scans, and intraocular pressure measurements.

They can help us detect and monitor changes in the eye that may indicate the progression of the disease and guide treatment decisions. Additionally, these algorithms can provide a personalised approach to glaucoma management by taking into account individual patient factors, such as age, race, and family history. Overall, the use of algorithms in glaucoma disease monitoring has the potential to improve patient outcomes and reduce the risk of vision loss.