We are currently partnering with one of the largest tele-ophthalmology companies and conducting field trials in their screening centers in India. The company has over 275 centers in 22 states across India and a large network of remote ophthalmologists.
An overview of the solution and its major components is as follows:
Patient’s retinal images are captured via Fundus Cameras at local screening centers or clinics, and are uploaded via the web to a cloud-based server for further processing.
A cloud-based web application for patient registration and data entry, image capture and uploading, integration with the AI model, remote diagnosis by trained specialists, as well as patient reporting, messaging and notification.
Automated AI Diagnosis: The AI model runs on a remote server and can automatically diagnose and classify the image nearly instantly as either normal or showing evidence of DR, along with the probability of the model’s predicted diagnosis.
Remote Human Diagnosis: Eye-care professionals can login remotely to the web application to
review and validate the AI diagnosis, add notes, provide referral to a specialist, follow-up and treatment options. The system design also incorporates the ability to fine-tune the AI algorithm based on corrections of diagnosis errors by the specialists. Please note – the AI is currently being tried only to assist the ophthalmologist and not for actual diagnosis of any patients. In the future, once certified by regulatory authorities it may be used for diagnosis
Integrated administrative, reporting, and messaging for patient communication, system performance reports, and overall statistics.