A Leader in Automated Image Analysis

IDx is developing algorithms that can detect disease across a number of imaging modalities, with a focus on fundus photography and optical coherence tomography (OCT).
Current prototypes exist for macular degeneration, glaucoma, Alzheimer’s disease, cardiovascular disease, and stroke risk.

A Medically Driven Approach to Healthcare Automation

IDx’s Research and Development process involves deep collaboration with physicians to develop unique solutions based on:

1)    Foundational Medical Knowledge
2)   Standards of Care in Medicine

IDx starts by identifying high impact diseases with established medical practice patterns. We study how the standard of care has developed over time, and work with the clinicians and scientists who developed these standards to understand their work.

This rich understanding of pathology helps our own team of physicians and technologists judiciously choose data we use in developing and validating our deep learning algorithms. ​

Glaucoma is the 2nd leading cause of blindness globally

Established risk factors include:
Diabetes
Age
Race/Ethnicity
Family History

Vision loss caused by glaucoma is largely irreversible, making its early identification a critical public health concern

Our Solution: IDx-G

IDx is developing algorithms to detect and track a range of glaucoma indicators. With the wealth of data available in optical coherence tomography (OCT) images, IDx’s advanced layer segmentation algorithms are only the first step toward building the next generation of clinical tools, such as implied visual field measurements.

Age-Related Macular Degeneration (AMD) is the 3rd leading cause of vision loss globally

Projected population affected with AMD

196 Million by 2020

288 Million by 2040

Current disease treatment options are limited, but expected to increase over the coming decade

Our Solution: IDx-AMD

IDx is developing algorithms to detect signs of age-related macular degeneration (AMD) from standard retina images.

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