Cambridge hospital becomes first to adopt Microsoft AI for cancer treatment

Addenbrooke's Hospital says the imaging AI will increase the survival rates of patients

Addenbrooke’s Hospital in Cambridge is to become the first hospital in the world to use Microsoft’s InnerEye artificial intelligence (AI) technology to treat cancer patients.

The hospital is to benefit from the InnerEye project developed by Microsoft’s Cambridge Research Lab, which uses hospital data to create AI models which automatically point out tumours on patient scans. The models are then checked by oncologists and, if the diagnosis is confirmed, the patients are referred for appropriate cancer treatment.

Project InnerEye builds upon many years of research in computer vision and machine learning. It employs algorithms such as the latest Convolutional Neural Networks for the automatic, voxel-wise segmentation of medical images, according to Microsoft. 

The technology is expected to reduce the treatment planning process, which can be often lengthy, and hence increase the survival rates of patients diagnosed with fast-progressing conditions such as brain cancer.

Addenbrooke’s Hospital oncologist and InnerEye co-lead Dr Raj Jena described the results from the project as “a game-changer”. 

“To be diagnosed with a tumour of any kind is an incredibly traumatic experience for patients. So as clinicians we want to start radiotherapy promptly to improve survival rates and reduce anxiety. Using machine learning tools can save time for busy clinicians and help get our patients into treatment as quickly as possible,” he said.

However, the use of Microsoft’s AI technology, which had been piloted at Addenbrooke’s over the past eight years, does not mean that human doctors will be rendered useless.

Related Resource

MLOps 101: The foundation for your AI strategy

What is MLOps and why do you need an MLOps infrastructure?

How to build a foundation for AI strategy - whitepaper from DataRobotDownload now

“It’s important for patients to know that the AI is helping me in my professional role; it’s not replacing me in the process,” said the hospital’s consultant clinical oncologist Yvonne Rimmer.

“I double-check everything the AI does and can change it if I need to. The key thing is that most of the time, I don’t need to change anything,” she added.

Last month, the government unveiled a new fund that will inject £20 million into AI R&D projects and chose the University of Manchester’s Professor Christopher Yau as one of the recipients. Yau aims to improve the methods of tracking cancer by using AI to predict its development before it is fully formed, improving patients’ survival and recovery rates.

Featured Resources

Managing security risk and compliance in a challenging landscape

How key technology partners grow with your organisation

Download now

Security best practices for PostgreSQL

Securing data with PostgreSQL

Download now

Transform your MSP business into a money-making machine

Benefits and challenges of a recurring revenue model

Download now

The care and feeding of cloud

How to support cloud infrastructure post-migration

Watch now

Recommended

10 keys to AI success in 2021
Whitepaper

10 keys to AI success in 2021

10 Mar 2021
MLOps 101: The foundation for your AI strategy
Whitepaper

MLOps 101: The foundation for your AI strategy

10 Mar 2021
How to choose an AI vendor
Whitepaper

How to choose an AI vendor

10 Mar 2021
Realising the benefits of automated machine learning
Whitepaper

Realising the benefits of automated machine learning

10 Mar 2021

Most Popular

Microsoft is submerging servers in boiling liquid to prevent Teams outages
data centres

Microsoft is submerging servers in boiling liquid to prevent Teams outages

7 Apr 2021
Data belonging to 500 million LinkedIn users found for sale on hacker marketplace
hacking

Data belonging to 500 million LinkedIn users found for sale on hacker marketplace

8 Apr 2021
How to find RAM speed, size and type
Laptops

How to find RAM speed, size and type

8 Apr 2021