Artificial intelligence 4: OCT scan interpretation

Every year, the eye care industry generates a vast number of ophthalmic images, including fundus photos, OCT scans, slit lamp microscope images, and more. The effectiveness of patients’ treatment relies heavily on the precise interpretation of these images by optometrists.

However, as the volume of medical images continues to rise, so does the risk of medical errors. Today, there exists an opportunity to enhance the speed and accuracy of medical image interpretation while reducing the risk of medical errors through the application of artificial intelligence (AI).

AI makes it possible for machines to learn from experience, adjust to new inputs and perform human-like tasks. Many AI examples that are more common today – from apps on your mobile phone to self-driving cars – rely heavily on deep learning and natural language processing.