The UK government has invested nearly £16 million in nine of the most promising artificial intelligence (AI) healthcare technologies to speed up research, accelerate testing and deployment, and free up clinicians’ time.
The third round of the AI in Health and Care Awards, set up in 2019 to improve the speed and accuracy of diagnosis, help patients manage long-term conditions, and tackle COVID-19 backlogs and waiting lists, will support AI systems that can detect cancer, diagnose rare diseases, identify women at the highest risk of premature birth, and support the treatment of neurological conditions like dementia.
The nine companies awarded funding include Ibex, which has developed a Galen Breast algorithm to detect breast cancer in images of tissue extracts; Medtronic, which is developing GI Genius, an AI-based medical device to process colonoscopy images and detect signs of cancer; and Mendelian, which is identifying patients with undiagnosed rare diseases and recommending the best management options.
The funding will support the testing, evaluation and adoption of these technologies by the NHS, and patients across the country could benefit from quicker and earlier diagnoses and more effective treatments for a range of conditions.
The AI and Health and Care Awards is a programme of the NHS AI Lab, the Accelerated Access Collaborative, and the National Institute for Health and Care Research.
Since the launch of the awards, £123 million has been invested in 86 AI technologies across three rounds, supporting over 300,000 patients and improving their care and treatment for health conditions such as cancer, heart disease, diabetes, mental health, and neurological disorders.
Cutting NHS waiting times is one of the government’s top five priorities, backed by record funding including up to £14.1 billion for health and social care over the next two years.
»UK funds AI healthcare technologies with £16m to accelerate research«
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