App Detects Eye Disease in Personal Photos

AI beats doctors in early detection of certain eye diseases

3 min read
Image of a parent taking a photo of their baby via smartphone.
Photo: iStock

A smartphone app that monitors personal photos can spot eye diseases more than a year before doctors do, according to a new report published today in the journal Science Advances

Using machine learning, the app searches casual portraits for signs of leukocoria: the appearance of a white reflection in the pupil of the eye. Leukocoria, or “white eye,” looks similar to red eye—that creepy red reflection in the eye that often appears with flash photography. But a red reflection is actually a sign of a healthy eye. A white reflection can be a sign of a problem.   

White eye can indicate retinoblastoma, a type of childhood cancer of the retina, or a handful of other eye disorders, including retinopathy of prematurity, cataracts, or Coats Disease. Catching these disorders early can save an eye, or a life. 

“With retinoblastoma, every month counts,” says Bryan Shaw, an associate professor at Baylor University in Waco, Texas. “Tumors grow rapidly and when you start seeing the white eye, you have about six months to a year before the tumor starts to break up and metastasize down the optic nerve to the brain and kills you.”

 Shaw and his team developed an app, called White Eye Detector, that will search all of the photos on your phone for faces with white eye. In building the software, the team developed a novel set of convolutional neural networks, and trained it to spot white eye in family photos of babies and children.

To test the system, the team ran nearly 53,000 photos of 40 children, half of whom had healthy eyes and the other half of whom had been diagnosed with a leukocoria-related eye disease. The photos of each child spanned from birth to several years old, allowing the system to pinpoint at what age the disease developed.

Figure of the diseased eyeThe White Eye Detector app can spot subtle symptoms of eye cancer in photographs.Illustration: Michael Munson/Science Advances

In 16 of the 20 children with disease, the app spotted leukocoria in photographs taken an average of 1.3 years before the child was diagnosed. Among the subset of children with unilateral retinoblastoma, the app caught white eye more than nine months, on average, before diagnosis—long enough to mean the difference between saving and losing the eye.

Score one point for AI in Spectrum’s AI vs. doctors chart.

Shaw says his White Eye Detector app has been downloaded more than 100,000 times, thanks in part to media coverage. The new study is the first to rigorously test the app, and describe it. 

Shaw and his team initially launched the app in 2014 after first describing the need for it in a 2013 paper in PLOS ONE. For that paper, the team looked at more than 7,000 photos of Shaw’s son, who was diagnosed with retinoblastoma when he was four months old. “We went back through the pictures and saw that white eye started showing up at 12 days old,” says Shaw. His son ended up losing one eye, and has significant visual impairment in the other, Shaw says.  

The white eye detection software works for adults too, but is particularly helpful for children and babies, who may not be able to notice or articulate that something is wrong with their vision. Retinoblastoma only occurs in young children.

Pediatricians typically screen for leukocoria using a red reflex test, a type of eye exam in which a light is shined into the child’s eye. But the exam is notoriously ineffective. “Pediatricians just aren’t that good at it,” says Shaw. 

A 2003 study found that 80 percent of the time, it’s the parents who first spot retinoblastoma—typically through photographs. Shaw’s app augments parents’ efforts, he says. 

The app is free, in part because it doesn’t need regulatory approval from the U.S. Food and Drug Administration. (The agency is well aware of the app, Shaw says.) “This app cannot diagnose retinoblastoma or any other medical condition,” says the app’s disclaimer. “This app can only detect white eye in photographs.”  

This writer downloaded the White Eye Detector app, but wasn’t able to scan any personal photos—a glitch Shaw says is happening on some iPhones. “We’re sorting it out,” he says.

If you download the app and scan pictures of your pets, don’t be alarmed: Leukocoria in cats and dogs is normal. 

The Conversation (0)

Are You Ready for Workplace Brain Scanning?

Extracting and using brain data will make workers happier and more productive, backers say

11 min read
Vertical
A photo collage showing a man wearing a eeg headset while looking at a computer screen.
Nadia Radic
DarkGray

Get ready: Neurotechnology is coming to the workplace. Neural sensors are now reliable and affordable enough to support commercial pilot projects that extract productivity-enhancing data from workers’ brains. These projects aren’t confined to specialized workplaces; they’re also happening in offices, factories, farms, and airports. The companies and people behind these neurotech devices are certain that they will improve our lives. But there are serious questions about whether work should be organized around certain functions of the brain, rather than the person as a whole.

To be clear, the kind of neurotech that’s currently available is nowhere close to reading minds. Sensors detect electrical activity across different areas of the brain, and the patterns in that activity can be broadly correlated with different feelings or physiological responses, such as stress, focus, or a reaction to external stimuli. These data can be exploited to make workers more efficient—and, proponents of the technology say, to make them happier. Two of the most interesting innovators in this field are the Israel-based startup InnerEye, which aims to give workers superhuman abilities, and Emotiv, a Silicon Valley neurotech company that’s bringing a brain-tracking wearable to office workers, including those working remotely.

Keep Reading ↓Show less
{"imageShortcodeIds":[]}