DeepMind Health Research and Moorfields Eye Hospital NHS Foundation Trust: What our research shows
Key Takeaways
DeepMind Health and Moorfields Eye Hospital NHS Foundation Trust collaborate on research using artificial intelligence to detect eye disease from OCT scans, with the AI system able to detect sight-threatening diseases with the same accuracy as an expert doctor.
Full Transcript
[Music] my name is Pierce Keene I'm a consultant ophthalmologists at Moorfields Eye Hospital Moorfields Eye Hospital is the oldest eye Hospital in the world in terms of worldwide basis more than 285 million people have some form of visual impairment and one of the key things is that in about 80% of those cases if those patients are diagnosed and treated that visual impairment is reversible the way that we've diagnose retinal diseases is using a technique called Oct an Oct is kind of like ultrasound and it gives us very very high resolution images of the back of people's eyes o CT imaging at Moorfields and in fact at AI hospitals all around the world has revolutionized ophthalmology to the extent that we now even in more fields do many thousands of o CT scans per week one of the challenges that we face is being able to analyze the o CT scans and make the diagnosis in a timely fashion and unfortunately that delays people getting the treatment that they need all the evidence suggests that if we can get earlier diagnosis we can start treatment earlier and we can save sight that's why we've been working with deep mind over the past 18 months to see whether artificial intelligence could help us solve this problem and so we're really excited now that we have the first results of this work my name is Trevor back I'm the research lead for Des Moines health diamond Health is researching how artificial intelligence could help solve some of the most pressing challenges in healthcare today we've been working with Moorfields Eye hospitals since 2016 we've been exploring whether we can develop artificial intelligence to help eye care professionals analyze Oh CT scans more effectively than they can at present that could give them a better and faster understanding of their patients eye disease the AI system we've been out to develop in collaboration with Moorfields is able to detect a wide range of different sight threatening diseases in these o CT scans and amazingly to the same accuracy as an expert doctor there's also able to do it while also providing information that enables eye care professionals to review the recommendation that it makes so the eye care professionals can scrutinize that decision and ensure that the right decision is taken for those patients I believe this technology could lead to a system where eye care professionals can prioritize those patients with the most serious eye conditions that can take us one step closer to preventing avoidable sight loss you
Original Description
Dr Pearse Keane, consultant ophthalmologist from Moorfields Eye Hospital, and Trevor Back, Research Lead at DeepMind Health, explain our partnership and research into detecting eye disease.
Watch on YouTube ↗
(saves to browser)
Sign in to unlock AI tutor explanation · ⚡30
Playlist
Uploads from Google DeepMind · Google DeepMind · 54 of 60
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
▶
55
56
57
58
59
60
RL Course by David Silver - Lecture 8: Integrating Learning and Planning
Google DeepMind
RL Course by David Silver - Lecture 1: Introduction to Reinforcement Learning
Google DeepMind
RL Course by David Silver - Lecture 2: Markov Decision Process
Google DeepMind
RL Course by David Silver - Lecture 5: Model Free Control
Google DeepMind
RL Course by David Silver - Lecture 6: Value Function Approximation
Google DeepMind
RL Course by David Silver - Lecture 4: Model-Free Prediction
Google DeepMind
RL Course by David Silver - Lecture 3: Planning by Dynamic Programming
Google DeepMind
RL Course by David Silver - Lecture 10: Classic Games
Google DeepMind
RL Course by David Silver - Lecture 7: Policy Gradient Methods
Google DeepMind
Google DeepMind: Ground-breaking AlphaGo masters the game of Go
Google DeepMind
Match 1 - Google DeepMind Challenge Match: Lee Sedol vs AlphaGo
Google DeepMind
Match 2 - Google DeepMind Challenge Match: Lee Sedol vs AlphaGo
Google DeepMind
Match 1 15 min Summary - Google DeepMind Challenge Match
Google DeepMind
Match 3 - Google DeepMind Challenge Match: Lee Sedol vs AlphaGo
Google DeepMind
Match 2 15 Minute Summary - Google DeepMind Challenge Match 2016
Google DeepMind
Match 3 15 Minute Summary - Google DeepMind Challenge Match 2016
Google DeepMind
Match 4 - Google DeepMind Challenge Match: Lee Sedol vs AlphaGo
Google DeepMind
Match 4 15 Minute Summary - Google DeepMind Challenge Match 2016
Google DeepMind
Match 5 - Google DeepMind Challenge Match: Lee Sedol vs AlphaGo
Google DeepMind
Match 5 15 Minute Summary - Google DeepMind Challenge Match 2016
Google DeepMind
DQN SPACE INVADERS
Google DeepMind
DQN Breakout
Google DeepMind
Asynchronous Methods for Deep Reinforcement Learning: Labyrinth
Google DeepMind
Asynchronous Methods for Deep Reinforcement Learning: MuJoCo
Google DeepMind
Asynchronous Methods for Deep Reinforcement Learning: TORCS
Google DeepMind
Differentiable neural computer family tree inference task
Google DeepMind
StarCraft II DeepMind feature layer API
Google DeepMind
DeepMind Health – Partnership with the Royal Free London NHS Foundation Trust
Google DeepMind
DeepMind Health – Michael Wise – a patient's journey
Google DeepMind
Streams – a platform for a digital NHS
Google DeepMind
DeepMind Lab - Nav Maze Level 1
Google DeepMind
DeepMind Lab - Stairway to Melon Level
Google DeepMind
DeepMind Lab - Laser Tag Space Bounce Level (Hard)
Google DeepMind
Exploring the mysteries of Go with AlphaGo and China's top players
Google DeepMind
Demis Hassabis on AlphaGo: its legacy and the 'Future of Go Summit' in Wuzhen, China
Google DeepMind
The Future of Go Summit: AlphaGo & Ke Jie match 1 moves analysis
Google DeepMind
The Future of Go Summit: AlphaGo & Ke Jie match 2 moves analysis
Google DeepMind
The Future of Go Summit: Pair Go moves analysis
Google DeepMind
The Future of Go Summit: AlphaGo & Ke Jie match 3 moves analysis
Google DeepMind
Emergence of Locomotion Behaviours in Rich Environments
Google DeepMind
StarCraft II 'mini games' for AI research
Google DeepMind
Trained and untrained agents play StarCraft II full 1vs1 game
Google DeepMind
DeepMind open source PySC2 toolset for Starcraft II
Google DeepMind
ICML 2017: Test of Time Award (Sylvain Gelly & David Silver)
Google DeepMind
Ke Jie and DeepMind's Go Ambassador Fan Hui review the 3rd AlphaGo vs Ke Jie game
Google DeepMind
Ke Jie and DeepMind's Go Ambassador Fan Hui review the 1st AlphaGo vs Ke Jie game
Google DeepMind
Ke Jie and DeepMind's Go Ambassador Fan Hui review the 2nd AlphaGo vs Ke Jie game
Google DeepMind
AlphaGo Zero: Discovering new knowledge
Google DeepMind
AlphaGo Zero: Starting from scratch
Google DeepMind
Defining principles for tech companies in the NHS: DeepMind Health's Collaborative Listening Summit
Google DeepMind
A systems neuroscience approach to building AGI - Demis Hassabis, Singularity Summit 2010
Google DeepMind
Retour de Rémi Munos en France et ouverture de DeepMind Paris
Google DeepMind
Grid cells - Caswell Barry, UCL
Google DeepMind
DeepMind Health Research and Moorfields Eye Hospital NHS Foundation Trust: What our research shows
Google DeepMind
DeepMind Health Research and Moorfields Eye Hospital NHS Foundation Trust: A Patient's Story
Google DeepMind
Deep Learning 3: Neural Networks Foundations
Google DeepMind
Deep Learning 5: Optimization for Machine Learning
Google DeepMind
Deep Learning 8: Unsupervised learning and generative models
Google DeepMind
Reinforcement Learning 1: Introduction to Reinforcement Learning
Google DeepMind
Deep Learning 2: Introduction to TensorFlow
Google DeepMind
More on: CV Basics
View skill →Related Reads
📰
📰
📰
📰
On July 1, 2026, arXiv will spin out from Cornell University, its home for the past 25 years, to become an independent nonprofit organization. Major funding support from Simons Foundation and Schmidt Sciences. Ditching the red for their website. [N]
Reddit r/MachineLearning
CS-NRRM™ Official Publications: Paper 1 and Paper 2 Are Now Available
Medium · Data Science
Found a potential mistake in an ICLR 2026 blogpost [D]
Reddit r/MachineLearning
Rebuttals Move Peer-Review Scores, but Initial-Review Structure Bounds the Movement
ArXiv cs.AI
🎓
Tutor Explanation
DeepCamp AI