Biomedical Imaging
Addressing the challenges of speed, quantification, and cost
News & features
In the news | Microsoft News Centre UK
A Microsoft AI tool is helping to speed up cancer treatment – and Addenbrooke’s will be the first hospital in the world to use it
Addenbrooke’s Hospital in Cambridge will become the first hospital in the world to use cutting-edge artificial intelligence technology from Microsoft that could improve survival rates for some cancers. The hospital will use the InnerEye project, which was developed at Microsoft’s Cambridge Research Lab,…
In the news | NHS Cambridge University Hospitals News
AI speeds up cancer treatment
Doctors at Addenbrooke’s hospital in Cambridge aim to drastically cut cancer waiting times using artificial intelligence (AI) to automate lengthy radiotherapy preparations. The AI technology, known as InnerEye, is a result of an eight-year collaboration between Cambridge-based Microsoft Research and…
Project InnerEye evaluation shows how AI can augment and accelerate clinicians’ ability to perform radiotherapy planning 13 times faster
| Ozan Oktay, Anton Schwaighofer, David Carter, Melissa Bristow, Javier Alvarez-Valle, and Aditya Nori
Up to half of the population in the United States (opens in new tab) and United Kingdom (opens in new tab) will be diagnosed with cancer at some point in their lives. Of those, half will be treated with radiotherapy…
In the news | Health Tech Newspaper
Microsoft Research and Cambridge University Hospitals NHS FT
On day two of HTN Now November, we welcomed the Microsoft Research InnerEye team to share how their AI for medical image analysis programme is benefiting clinicians at Cambridge University Hospitals NHS FT. Javier Alvarez-Valle, Principal Research Manager, Microsoft Research and Dr Raj Jena, Group Leader…
Awards | Health Tech Newspaper
Inner Eye wins Best Use of AI at the HTN Awards 2020
HTN would like to say a huge congratulations and thank you to everyone involved.
Project InnerEye open-source deep learning toolkit: Democratizing medical imaging AI
| Javier Alvarez-Valle and Gregory J. Moore, MD, PhD
For over a decade, the Project InnerEye team at Microsoft Research Cambridge has been developing state-of-the-art machine learning methods for the automatic, quantitative analysis of three-dimensional medical images. An important application is to assist clinicians for image preparation and planning…
Awards | HTN Awards 2020
InnerEye finalists in HTN Awards 2020 for Best Health Tech Solution of the Year and Best use of AI
The HTN Awards 2020, sponsored by CCube Solutions, celebrate great technology, partnerships, teams and innovations making a difference across health and care. HTN is delighted to announce the finalists in the Awards and congratulations to all involved. On this webpage…
In the news | Addenbrooke's Hospital News
Hancock’s high-tech visit
Health Secretary Matt Hancock today visited Cambridge University Hospitals to see how cutting edge technology can reduce cancer waiting times. Consultant oncologist Dr Raj Jena has been working with Microsoft Research for the past eight years on a machine learning…
In the news | The Lancet
Machine learning for COVID-19—asking the right questions
COVID-19, caused by the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has put health-care systems worldwide into crisis.1 The speed with which health-care resources have been consumed has in some countries exceeded supply of personal protective equipment and ventilators,…