MAR 14, 2018 6:14 AM PDT

Artificial Intelligence Builds Algorithms for Diagnosing Eye Disease

WRITTEN BY: Kara Marker

With the help of Google’s artificial intelligence (AI) research group, scientists are on their way to relying on algorithms and software to make diagnoses as accurate and precise as a group of specialists would. In a new study from the American Academy of Ophthalmology, researchers recruit AI to improve detection and diagnosis for a common diabetic eye disease.

Credit: Shutterstock

Diabetic retinopathy is the most common cause of vision loss for people with diabetes, of which there are 29 million in the United States alone. This form of diabetic eye disease affects blood vessels in the retina, the eye’s light-sensitive tissue, causing progressive vision loss that is often irreversible. In addition to diabetic retinopathy, people with diabetes are also at risk for diabetic macular edema (DME), cataracts, and glaucoma. Needless to say, annual screenings for vision loss are vital for diabetics.

To combat diabetic retinopathy, the new study aimed at making computer software capable of performing like a retinal specialist would. In the past, researchers worked with neural networks, “complex mathematical systems for identifying patterns in data.” Researchers wanted to “teach” these neural networks to detect early signs of retinopathy, using thousands of retinal image scans to do the teaching. Results showed that neural networks detected and diagnosed disease “roughly as well” as human retinal specialists.

But researchers wanted the software to be even more accurate. They wanted to build an algorithm that reflects the abilities of a “panel of subspecialists” who sit down with a patient to talk about a specific case of retinopathy and how to treat it, describes Google AI’s Lily Peng, MD, PhD.

Peng’s study compared the performance of the original algorithm used with the neural networks with “manual image grading” from either three general ophthalmologists or three retinal specialists. Doctors look for detailed features like small aneurysms and hemorrhages.

The study ultimately showed that the precision of the retinal specialists’ diagnoses was more in-depth than that of the general ophthalmologists.

Peng adjusted and improved the software’s algorithm to reflect the precision indicated by the retinal specialists, which ultimately enhanced the software’s ability to detect and diagnose disease.

Peng and her team have high hopes for this software, not just for diagnosing diabetic retinopathy: "We believe this work provides a basis for further research and raises the bar for reference standards in the field of applying machine learning to medicine.”

The present study was published in the journal Ophthalmology.

Sources: National Eye Institute, American Academy of Ophthalmology

About the Author
  • I am a scientific journalist and enthusiast, especially in the realm of biomedicine. I am passionate about conveying the truth in scientific phenomena and subsequently improving health and public awareness. Sometimes scientific research needs a translator to effectively communicate the scientific jargon present in significant findings. I plan to be that translating communicator, and I hope to decrease the spread of misrepresented scientific phenomena! Check out my science blog: ScienceKara.com.
You May Also Like
JUL 25, 2019
Clinical & Molecular DX
JUL 25, 2019
Tinea Versicolor, Diagnosis And Treatment
Tinea Versicolor (TV) is a fungal infection of the skin. Also called Pityriasis Versicolor, the condition is common, especially in tropical climates. The d...
NOV 07, 2019
Clinical & Molecular DX
NOV 07, 2019
A Revealing Look at Rare Disease Incidence
Being diagnosed with a rare disease can be especially terrifying for patients. After all, many of these diseases have no treatment options. This is because...
DEC 02, 2019
Cannabis Sciences
DEC 02, 2019
Scientists List Several Reasons Not to Use Marijuana During Pregnancy
An estimated 16 percent of women use marijuana on a daily basis while pregnant, and a large majority of women do so without realizing the potential health...
JAN 08, 2020
Clinical & Molecular DX
JAN 08, 2020
MicroRNA emerges as a biomarker for migraines
Intense, debilitating pain that can last for days. Nausea, numbness and sensitivity to light. For people who experience migraines, it’s frustrating t...
JAN 04, 2020
Immunology
JAN 04, 2020
Why Do Skincare Products Sometimes Cause Rashes?
Chemicals commonly found in skincare products are intended to avoid interactions with the part of the immune system responsible for triggering allergic inf...
JAN 30, 2020
Genetics & Genomics
JAN 30, 2020
How To Choose The Right DNA Testing Kit For You
One of the most exciting scientific advancements in the past decade, at least in terms of its impact on pop culture, was the sudden accessibility of home D...
Loading Comments...