Google said its AI showed a 'specialist-level accuracy' of more than 90 percent for the detection of referable cases of diabetic retinopathy (DR). In reality, it quickly faced unforeseen challenges.
, a condition that can lead to vision distortion or loss, while helping the workflow of nursing staff.
Researchers found the tool needed high-quality images to work, which staff could not always provide. They found eye-screening processes varied significantly between the clinics, and not all locations had high-quality internet connections. In some cases, the system actually appeared to slow down already lagging systems in place.
The analysis added:"Finally, concerns for potential patient hardship as a result of on-the-spot referral recommendations from the system, led some nurses to discourage patient participation in the prospective study altogether." Without the AI, nurses take a photo of a patient's retina before sending the image to an ophthalmologist for review. The process can take up to 10 weeks. Google set out to test if using the algorithm could speed things up and provide instantaneous results.
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