Round 1 AI in Health and Care Awards

The winners of the first competition were announced by Secretary of State for Health Matt Hancock on 8 September 2020. Read more details in the media release.

Veye

Aidence: An AI platform to optimise oncology pathways, which can be integrated into existing software systems. Veye Chest, the first clinical application, is unique in its ability to currently automate early lung cancer detection, and soon also support treatment response assessment.

e-Stroke Suite

Brainomix Ltd: A set of tools that uses AI methods to interpret acute stroke brain scans, and helps doctors make the right choices about treatment and the need for specialist transfer of patients with confidence. It also provides a platform for doctors to share information between hospitals in real-time avoiding the delays that can occur.

RITA: Referral Intelligence and Triage Automation

Deloitte: An AI solution to automate the triage of GP referrals – assessing the urgency and next step for the referral and sending through directly to the next step in the process. In addition the solution includes a virtual assistant that supports clinicians in writing letters back to GPs, significantly speeding up this process.

Smartphone albuminuria self-testing

Healthy.io (UK) Ltd: Using a home test kit and mobile app, Healthy.io’s solution empowers patients to self-test at home with clinical grade results. Fully integrated to the Electronic Medical Record (EMR), real-time results are available for clinician review and follow-up. Shifting testing to the home increases uptake, improves quality, reduces workload in primary care, and creates savings.

DrDoctor

ICNH Ltd: DrDoctor uses AI to get the greatest use from every scheduled appointment within a hospital. It ensures attendance is as high as possible by using past appointment attendance and demographic data to predict those less likely to attend in the future and customising communication with these demographics accordingly.

Zio Service

iRhythm Technologies Ltd: A complete and clinically proven ambulatory ECG monitoring service, utilising powerful AI-led processing and analysis to support clinical workflows and improve the diagnostic yield and timeliness of cardiac monitoring.

Mia Mammography Intelligent Assessment

Kheiron Medical Technologies: Deep learning software that has been developed to solve critical challenges in the NHS Breast Screening Programme (NHSBSP), including reducing missed cancers, tackling the escalating shortage of radiologists and improving delays that put women’s lives at risk.

DLCExpert

Mirada Medical Ltd: DLCExpert uses artificial intelligence software to automate the time-consuming and skill-intensive task of outlining (or “contouring”) healthy organs on medical images for radiotherapy planning so that they are not irradiated during treatment.

Automated diabetic retinal image analysis software

Optos PLC: OptosAI uses a machine learning algorithm to analyse images of the back of the eye for the presence/severity of any diabetic retinopathy, and then advises if referral to an eye care specialist is needed (based on the local clinical pathway).

EchoGo Pro

Ultromics Ltd: A fully automated and scalable application for quantification and interpretation of stress echocardiograms that autonomously processes “real world” echocardiographic image studies to predict prognostically significant cardiac disease.