AI to Diagnose Eye Diseases

The system was developed in connection with the Moorfields Eye Hospital
15 August 2018   445

The British company DeepMind has introduced a system that, based on the optical coherence tomography (OCT) image of the retina, identifies up to 50 eye diseases.

The system was developed in conjunction with the Moorfields Eye Hospital - its doctors make over a thousand OCT images every day. The specialists take a lot of time to process even one - sometimes this leads to the fact that the disease progresses and causes irreversible changes in the visual organs.

OCT Analysis
OCT Analysis 

The new algorithm allows to reduce the analysis time to several seconds. It is based on two neural networks. The first - the segmentation network - converts the original OCT images into a tissue map. It distinguishes features of diseases and their hearth: hemorrhage, damage and so on. The second neural network - classification network - analyzes a 3D map and diagnoses it. The system not only represents the accuracy of the analysis as a percentage, but it also prioritizes the treatment and gives its recommendations.

The algorithm was trained on a set of 15 thousand pictures from 7,5 thousand patients, accompanied by diagnoses of doctors. The main difference between the development of DeepMind and similar ones is that the system reflects how it came to some conclusions. In addition, it works with any type of images - it will allow using it in any medical center.

Now the algorithm is being clinically tested in Moorfields Eye Hospital. According to its creators, it can take 3-5 years. In case of successful results, the system will be used by 30 more medical centers and clinics throughout the country.

In February 2018, scientists from Google and a subsidiary of medical company Verily discovered a new method that predicts heart disease with the help of machine learning. Based on the scan of the retina, the system provides accurate patient data: age, blood pressure, addictions.

Intel to Present Neural Compute Stick 2

Neural Compute Stick 2 is an autonomous neural network on a USB drive
15 November 2018   116

At the Beijing conference, Intel introduced Neural Compute Stick 2, a device that facilitates the development of smart software for peripheral devices. These include not only network equipment, but also IoT systems, video cameras, industrial robots, medical systems and drones. The solution is intended primarily for projects that use computer vision.

Neural Compute Stick 2 is an autonomous neural network on a USB drive and should speed up and simplify the development of software for peripheral devices by transferring most of the computation needed for learning to the specialized Intel Movidius Myriad X processor. Neural Compute Engine, responsible for the high-speed neural network of deep learning.

The first Neural Compute Stick was created by Movidius, which was acquired by Intel in 2016. The second version is 8 times faster than the first one and can work on Linux OS. The device is connected via a USB interface to a PC, laptop or peripheral device.

Intel said that Intel NCS 2 allows to quickly create, configure and test prototypes of neural networks with deep learning. Calculations in the cloud and even access to the Internet for this is not needed.

The module with a neural network has already been released for sale at a price of $ 99. Even before the start of sales, some developers got access to Intel NCS 2. With its help, projects such as Clean Water AI, which use machine vision with a microscope to detect harmful bacteria in water, BlueScan AI, scanning the skin for signs of melanoma, and ASL Classification, real-time translates sign language into text.

Over the Movidius Myriad X VPU, Intel worked with Microsoft, which was announced at the Developer Day conference in March 2018. The AI ​​platform is expected to appear in upcoming Windows updates.