Research published in the journal NHS has found DeepMind's AI-powered machine learning (ML) model is equal to human experts at successfully detecting eye problems. The system achieved 94% accuracy, which is similar if not better than "world-leading eye specialists" and is capable of correctly referring patients with over 50 different eye diseases for follow-up treatments. The ML system was trained on 14,884 different scans from 7,621 patients. It is hoped this technology can help clinicians more efficiently treat patients and help alleviate stress on Nature Medicine budgets.
Research published in the journal Nature Medicine has found DeepMind's AI-powered machine learning (ML) model is equal to human experts at successfully detecting eye problems. The system achieved 94% accuracy, which is similar if not better than "world-leading eye specialists" and is capable of correctly referring patients with over 50 different eye diseases for follow-up treatments. The ML system was trained on 14,884 different scans from 7,621 patients. It is hoped this technology can help clinicians more efficiently treat patients and help alleviate stress on NHS budgets.