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Babylon Health

Revolutionising healthcare by empowering doctors with artificial intelligence

We want to put an accessible and affordable health service into the hands of every person on Earth. And to do that, we’re combining human expertise with the power of technology. We built a suite of tools, designed around a doctor’s brain, using Artificial Intelligence (AI). It’s what makes us so different from other healthcare providers.

AI is a transformational force in healthcare. It helps medical professionals work faster, see more patients, and make decisions based on user-inputted information. It helps patients address symptoms, get faster information about conditions, and proceed to treatment sooner.

Our AI system can efficiently read, comprehend, and learn from anonymized, aggregated, and medical datasets—when patients give consent for us to use their health information in this way. And our complementary set of AI tools can help make decisions about triage, causes of symptoms, and future health predictions. Our work has led to more than 20 peer-reviewed papers and 30 groups of patents.

Doctor in front of a computer

The beginner’s guide to AI in healthcare

We get it. All this talk about AI can be a bit complicated and confusing. That’s why we’ve created a handy guide to help you understand what we mean when we talk about using AI to revolutionize the health system.

If you understand the ins and outs of AI, feel free to skip the guide and scroll down for more details.

Read our beginner’s guide

Learn more about our AI

With advances in mathematics, computational power and the availability of data, the field of AI has progressed rapidly in recent years. We’re surrounded by articles and opinions about it, which has led to confusion about what it is - and isn’t.

Learn more on AI

Abstract AI

We’ve made great progress so far

1. We’re proving the credibility of AI in primary care.

2. We’ve built an AI for medicine that is not just a ‘black box’.

3. We’re deploying AI in healthcare at scale

4. We’ve pushed what natural language processing can do.

Read more on our progress

We’re part of the community

We contribute to the AI community by publishing papers, speaking at conferences and open-sourcing some of our work for the benefit of all.

Estimating Mutual Information Between Dense Word Embeddings

Vitalii Zhelezniak, Aleksandar Savkov, April Shen, Nils Hammerla

Hybrid Reasoning Over Large Knowledge Bases Using On-The-Fly Knowledge Extraction

Stoilos, Giorgos and Juric, Damir and Wartak, Szymon and Schulz, Claudia and Khodadadi, Mohammad