Stories
Slash Boxes
Comments

SoylentNews is people

posted by chromas on Tuesday August 14 2018, @12:30AM   Printer-friendly
from the eEye-e-I/O dept.

DeepMind's AI can detect over 50 eye diseases as accurately as a doctor

Step by step, condition by condition, AI systems are slowly learning to diagnose disease as well as any human doctor, and they could soon be working in a hospital near you. The latest example is from London, where researchers from Google's DeepMind subsidiary, UCL, and Moorfields Eye Hospital have used deep learning to create software that identifies dozens of common eye diseases from 3D scans and then recommends the patient for treatment.

The work is the result of a multiyear collaboration between the three institutions. And while the software is not ready for clinical use, it could be deployed in hospitals in a matter of years. Those involved in the research described is as "ground-breaking." Mustafa Suleyman, head of DeepMind Health, said in a press statement that the project was "incredibly exciting" and could, in time, "transform the diagnosis, treatment, and management of patients with sight threatening eye conditions [...] around the world."

The software, described in a paper published in the journal Nature Medicine, is based on established principles of deep learning, which uses algorithms to identify common patterns in data. In this case, the data is 3D scans of patients' eyes made using a technique known as optical coherence tomography, or OCT. Creating these scans takes around 10 minutes and involves bouncing near-infrared light off of the interior surfaces of the eye. Doing so creates a 3D image of the tissue, which is a common way to assess eye health. OCT scans are a crucial medical tool, as early identification of eye disease often saves the patient's sight. [...] In a test where the AI's judgments were compared with diagnoses by a panel of eight doctors, the software made the same recommendation more than 94 percent of the time.

Move over, Watson.

Also at BBC and VentureBeat.

Clinically applicable deep learning for diagnosis and referral in retinal disease (DOI: 10.1038/s41591-018-0107-6) (DX)


Original Submission

 
This discussion has been archived. No new comments can be posted.
Display Options Threshold/Breakthrough Mark All as Read Mark All as Unread
The Fine Print: The following comments are owned by whoever posted them. We are not responsible for them in any way.
  • (Score: 0) by Anonymous Coward on Tuesday August 14 2018, @01:12AM (1 child)

    by Anonymous Coward on Tuesday August 14 2018, @01:12AM (#721198)

    Ima stick mah dick in teh masheen, it be tellin me what I got and from what ho did I got it.

  • (Score: 2) by DeathMonkey on Tuesday August 14 2018, @06:36PM

    by DeathMonkey (1380) on Tuesday August 14 2018, @06:36PM (#721471) Journal

    If you're contracting STDs in your eyes, maybe lay off the bukkaki?