SemanticMD AI for DR

Automatically detect diabetic retinopathy in fundus images


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Background

Diabetic retinopathy (DR) is one of the leading causes of blindness worldwide. An estimated 85% of the world's 415 million diabetic patients will develop DR.

Fundus images play a crucial role in DR diagnosis, especially since 95% of cases are treatable - if identified early by a specialist. In addition, since fundus cameras provide a low-cost, rapid examination even in remote settings, it has been recognized as a powerful screening test for DR, especially in areas and populations with higher disease burden.

While the cost of acquiring a fundus image has become much more affordable, the interpretation of fundus images are currently limited by cost and access to trained eye specialists and proper screening facilities. Hence, there are many patients that get diagnosed too late and unable to treat their symptoms.

Solution**

We developed AI for DR to improve the quality and efficiency of DR screening programs. Benefits of implementing SemanticMD AI solutions include:

  • AI is fine-tuned to be specific to local patient populations
  • Cost-efficient compared to teleophthalmalogy
  • Rapid reading and reporting (<1 second per scan)
  • Useful for screening and triage of patients with multiple symptoms
  • Sensitivity and specificity equivalent to an expert ophthalmalogist
  • Can be used offline in remote, low-power areas

**Not available for diagnostic use in the U.S.

Technical Specifications

Artificial intelligence (AI) can immediately analyze fundus images. Our AI software provides a probability score from 1 to 100 for signs of diabetic retinopathy (DR).

Deep learning technologies enable the efficient training and deployment of AI for DR screening. Our algorithm is trained on a growing database of thousands of images from the U.S. and India. Based on this analysis a score for each patient is computed.

The software can run automatically after a fundus image is captured. We support DICOM and HL7 standards to route images which enable integration with PACS, EHR and other hospital IT infrastructure. Our software can be deployed in the cloud or run offline.

Technical Resources

AI for DR has been developed using SemanticMD's proprietary AI platform spun out of Carnegie Mellon University. In an effort to provide the best possible care for patients, we work with the top researchers and academic partners to continually refine our algorithms. Below are some of the algorithms that are part of our AI for DR pipeline.

Hover over each image to see the result

1. Hard Exudate Detection

2. Vessel Segmentation

3. Microaneurysm Detection

Partners