There are 10 fantastic innovations that deserve your vote. You can vote for as many of them as you like by clicking the “Tick” next to each of them. So please be generous with your voting and let’s encourage them all to even greater success by showing your appreciation for as many as you feel deserve your vote. Thank you for taking part.
Artificial Intelligence Based Skin Cancer Checks
We have developed a machine learning algorithm that enables fast and accurate detection of skin cancer. Our ground-breaking artificial intelligence solution can identify skin cancer using an image captured by a smartphone camera with a special lens attachment. We have clinically proven our solution matches the performance of dermatologists.
Automated transcription and language analysis software to identify children with developmental language disorder
Children with Developmental Language Disorder are at substantially increased risk of not doing as well in education, employment and relationships. Up to 50% aren't identified and may not receive additional help. Funded by NIHR, we are developing language analysis software to help clinicians identify these children, saving 90minutes per assessment.
Heathside Telehealth Programme
Wigan’s People Powered Technology team are working with solution partners, exploring sensor technology which supports residents care. The Heathside Telehealth innovation project will allow monitoring of residents, using advanced machine learning to capture information around the residents, enabling Wigan council to change how we deliver care to residents.
Liva Healthcare is an innovative digital health coaching platform for scalable lifestyle and disease management. Used by healthcare, private insurance and pharma companies including NHS England and AXA PPP Healthcare, the platform’s focus lies on tackling chronic illnesses, such as Type 2 diabetes, obesity and heart disease, by driving behaviour change through ongoing personalised health coaching.
MendelApp - The world’s most powerful search engine for hard-to-diagnose patients
Rare diseases are NOT rare. 350M people are affected globally. On average patients wait 7 years before getting a positive diagnosis for their rare condition. No diagnosis means no hope for treatment and years of wasted resources for the NHS. Mendelian is accelerating this diagnostic odyssey with MendelApp. MendelApp is helping clinicians get to their patients' diagnosis faster by leveraging state of the art machine learning and knowledge reasoning techniques.
MyCare Patient Portal
Milton Keynes University Hospital NHS Foundation Trust
It is easier to change flights or book hotels than it is to change hospital out-patient appointments. Empowering people to manage appointments on their smartphones is a unique and crucial first step in developing our patient portal, working together as partners and providing comprehensive access to their health records.
Using 8 fixed sensors and a wristband, MySense learns from 7000 data points each day, from this we understand what a person’s normal behaviour looks like. In the event that we pick up a pattern of decline, an alert is sent to the dashboard and mobile app, allowing nominated responders to manage care needs before they escalate.
Online Bereavement Counselling Service
The Online Bereavement Counselling Service offers free bereavement counselling with qualified counsellors. We use video chat (Zoom) to enable users to access the service from the comfort and safety of their home. The service is user-led, which means people can book their own sessions depending on their individual bereavement needs.
Virti uses virtual and augmented reality combined with artificial intelligence to transport users into realistic, hard-to-access environments and safely assesses them under pressure to improve human performance and outcomes regardless of geographical boundaries. The system enables cost-reduction and scaling of in-person coaching and training for both patients and physicians.