Medical AI, ML & Data Science Services

Camgenium started its AI journey in 2015. The first AI product was based on a slow research prototype that used the Caffe framework to analyse ultrasound images. Camgenium re-engineered this prototype to create a medical device that was more accurate and analysed real-time video images. The original algorithm had been developed using a training set of over 100,000 ultrasound images labelled by Sonographers and these images were used to validate the product.

The software automatically identified foetal anatomy and removed video artefacts such as personal identifiable data. It was used as a training aid for new Sonographers to help them learn how to capture the required images needed as part of routine pregnancy scans. The video below demonstrates the prototype developed over ten years ago.

Intelligent devices

Artificial Intelligence (AI) will enhance the capability and flexibility of medical devices in the future, but there are significant engineering challenges. When the Internet of Things (IoT) was first named in 1999 by Kevin Ashton, the vision of the network was billions of cheap sensors connected to powerful central computers that would perform signal analysis and computation. Today, devices need to send actionable information rather than raw data to minimise network traffic and energy usage.

Next generation networks will distribute the intelligence to their edge, in other words to the device. This is possible because of the new capabilities offered by next generation multiprotocol chips, such as those produced by Nordic Semiconductor.

It is now possible to run ML tasks in real time at low power in the device, allowing information to be deriveds from data at source. However, designing for co-processing in multiple cores is complex and made even more difficult by having to work to medical standards.

Camgenium is well placed to use these exciting new technologies and has years of experience designing advanced world leading embedded platform products. Our Head of Embedded Engineering was Chief Technology Officer at GlucoRx, Chief Technology Officer at Smarter Applications Ltd and Expert Engineer / Domain Lead at TomTom. Camgenium has built a skilled team of Cambridge University AI/ML engineers working with huge data to inform models that create next generation medical devices.

Embedding classed algorithms into products

Sophisticated algorithms may be developed over time and require massive data sets to provide detailed and nuanced answers. In particular, algorithms that assist with diagnoses and work over a large range of medical specialties are particularly difficult to develop. Once developed, they must be validated appropriate, the exact form of the validation depending on the purpose of the algorithm.

At Camgenium, we have extensive experience of developing such wide-ranging algorithms from massive data sets (well over 100 million patient records from multiple countries around the world). We can assist with development patterns to conform to medical device standards and advise on appropriate validation experiments to enable submissions to be made for regulatory certification of the algorithm.

Once the algorithm has been developed, it often needs to be wrapped to provide a way of users interacting with it to benefit from the insights it provides. Wrappers must be regulatory compliant, particularly in the way in which they handle personal information. Users can include both individual people and computer systems. The Camgenium platform has successfully been used on multiple occasions to wrap algorithms to make them accessible and usable by clinicians within healthcare settings and to interface them to fortressed healthcare IT systems.

As the Camgenium platform is so extensive, minimal work is usually required to embed algorithms and turn them into usable products. This means that the time to market can be minimised to allow you to take full benefit of any first mover advantage.

Providing secure and compliant access to real-time data

To deploy AI algorithms, access to data must be negotiated. This can prove very difficult as certification to rigorous standards is normally required.

Camgenium is trusted with sensitive healthcare data worldwide. We work to mandated standards, including contracted standards in the UK which are significantly higher than ISO 27001 and allow us to access and process many millions of healthcare records.

We run third party AI algorithms in our IT estate to enable them to become part of standard healthcare processes with the access they need to current healthcare data.

Developing sophisticated algorithms

Camgenium provides algorithm development services. We have an expert team of Cambridge University engineers who have trained in machine learning and artificial intelligence. This team has developed award winning products with exciting algorithms at their hearts. We have a great deal of expertise in processing medical data and we understand many of the challenges of working with standard medical data sets. We also have significant expertise in visualisation of results.