Why Ophthalmology is dying off

The ophthalmologists and surgeons who have made it their life’s work to preserve the world’s best eyesight are also the ones dying off.

The number of ophthalmic surgeries performed has dropped by nearly a third since the year 2000, according to a recent study published in the journal Ophthalmic Surgery.

As the world has become more comfortable with digital and other devices, more ophthalic surgeries have been cancelled.

There’s no easy answer to the problem.

But a few things may be happening that have helped to accelerate the process.

Ophthalmic surgery is still a major part of the healthcare system.

According to the latest data from the World Health Organization, more than 20 percent of the world population now has an ophthalmia, meaning they have difficulty seeing.

Ophthalmological procedures are more common in developing countries and for people who are visually impaired.

But while the number of procedures performed has fallen, there are many ophthalics who have been doing them for decades, and their services have become less essential.

And while the majority of the population now uses a camera-equipped smart phone or tablet to take pictures of themselves or their patients, the number who do so regularly is smaller.

What’s happening?

The problem has been driven by the rise of digital technology, which has allowed people to take images and videos of themselves and others without the need for a medical professional.

A digital camera can capture images without needing a prescription and is available for almost any device, from smartphones to home computers.

That has made it possible for doctors to make digital surgeries much easier.

But there’s a catch.

People with digital vision problems often have a very limited field of vision.

Even when they can see a portion of their field of view, the rest of the field of the image is blurry.

That makes it difficult to see the person with the problem, or to tell whether the patient has any other problems, such as glaucoma or macular degeneration.

In many cases, patients will require a double-blind test to make sure that the images aren’t taken by someone who is not themselves blind.

One way to reduce the risk of false positives is to use a retinal scanner to take photos and videos at a lower resolution, but there are some serious drawbacks to doing that.

For instance, the software in the retinal scanners is often designed to work with a limited range of light wavelengths.

If the software is designed to take photographs at a range that the retina can’t see, it will result in blurry images, which are not accurate.

The retinal technology used in many digital cameras has been tested to be able to detect the colors of objects as well as of people and objects.

But the technology also has some drawbacks: the software tends to degrade over time.

The researchers used a combination of algorithms to create a software program that can make use of these limitations.

This program, called ImageDetect, takes a photo of a subject’s eyes and then analyzes the images and the retinas of those eyes to determine the color of the object in the image.

ImageDetect can detect colors and light patterns, but it also has a built-in feature that can determine if an object has been moved.

The program can take the photo and analyze the results to determine if the object has moved or been damaged.

The software is able to analyze objects, even those with a low-resolution sensor, and determine if they are moving, damaged or moving but not in an unnatural or unnatural way.

This technique can be used to detect if an image of a cat has moved, for instance, if the cat’s eye is moving, or if a person is looking through a glass door.

The technology can also detect changes in the eye and retina in a subject, such that a person with a very low-vision condition has a slightly different color and/or intensity of light in a photograph taken of them.

The image also has to be sharp enough to be seen.

The ImageDetect software can do all of this analysis and then use algorithms to make a judgement on whether or not the subject is moving.

This judgement can be made in about 10 milliseconds, or about 10 to 15 times faster than the processing speed of a human eye.

If you want to make the procedure more precise, a software tool called Autofocus can be added.

This tool is capable of analyzing the images taken by the software and then calculating the position and direction of objects in the photograph.

For instance, it can calculate how far away an object is from the subject’s eye, and it can adjust the position of the subject to help it move closer to the subject.

Autofocalers are also being used to take more detailed images.

A new generation of cameras and processors has been developed to take the high-resolution images.

These cameras and processing units are capable of capturing the image resolution and resolution at a much faster rate than before.

These devices are being used in high-end cameras, including the Canon and Nikon cameras,