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NHS Hospitals Turn to Deep Learning and Advanced Algorithms to Fight Heart Disease


WIRE)--New technology using deep learning and advanced algorithms to evaluate blood flow to the heart is now being used in English hospitals to fight against coronary heart disease. Coronary heart disease (CHD) is one of the leading causes of death in the UK. It is responsible for more than 66,000 deaths each year and it is estimated that 2.3 million people in the UK are currently living with the diseasei. CHD develops when the arteries leading to the heart narrow or become blocked, which can reduce blood flow, and cause chest pain and heart attacksii. The HeartFlow FFRct Analysis is being supported by NHS England as part of the Innovation and Technology Payment (ITP) programme to help physicians better diagnose coronary heart disease.

How AI is transforming the way doctors treat patients


Advances in artificial intelligence (AI) are happening at a much quicker pace than anyone could have predicted. This emerging technology is now being used by businesses and is even finding its way into consumer products. One industry that has fully embraced AI is healthcare and doctors and other hospital staff are using advanced machine learning algorithms to solve problems in new ways. TechRadar Pro spoke with HeartFlow's Founder and Chief Technology Officer Charles A. Taylor to learn more about how the company is using deep learning to build 3-D models of patients' hearts to provide doctors with a safer and more effective way of diagnosing cardiovascular disease. HeartFlow has pioneered technology to help clinicians diagnose coronary heart disease (CHD).

How the NHS is using deep learning to combat coronary heart disease


Coronary heart disease (CHD) is one of the leading causes of death in the UK; it's responsible for more than 66,000 deaths each year, and it's estimated that 2.3 million people in the UK are currently living with the disease. Imaging is an important part of diagnosing people and managing treatment with a range of cardiovascular diseases, and the NHS uses Echo, MRI and CT scans to do this. A CT scan is used to do a coronary CT angiography, which involves taking images of the heart blood vessels and using the CT scan with some dye contrast into the blood vessels. This enables doctors to see if blood vessels are narrowing, causing patients to have chest pain or angina. The test has been around for the last 10 or 15 years but has increased in usage as radiation doses have decreased dramatically.

2020 predictions for healthcare IT from six industry experts


Advanced technologies have caused a significant impact on the development of the healthcare industry. Artificial Intelligence (AI) and Machine Learning (ML) in particular, have allowed for significant breakthroughs in life science and healthcare research and treatments, whether that's automating critical but repetitive tasks to free up time for clinicians, through to automatic speech recognition for faster disease diagnosis, or the ability to create synthetic controls for clinical trials. But with 75 per cent of healthcare enterprises planning to execute an AI strategy next year, there's a far greater opportunity round the corner to further unleash its potential. Here, six experts from leading healthcare organisations including Brainomix, AiCure, HeartFlow, Cambridge Cognition, Oxford Brain Diagnostics and Zebra Medical Vision, share their views on what 2020 holds for the industry. "As highlighted earlier this year, the NHS aims to become a world leader in AI and machine learning in the next five years. In 2020, we expect to see this become more apparent in practical terms with, AI technologies becoming the predominant driving force behind imaging diagnostics. With around 780,000 people suffering a stroke each year in Europe, and 7.4 million people living with heart and circulatory diseases in the UK, it is imperative we find ways to reduce the burden on healthcare organisations and improve time to disease detection. The number of MRI and CT scans for example is already on the rise, and AI has the ability to read scans as accurately as an expert physician. Utilising these new technologies to review scans for any disease can reduce patient wait time and ease the burden on medical staff. There will be greater recognition next year of the value of AI in augmenting human performance."

7 AI Cancer Diagnostics Startups Digitizing Healthcare


The world seems more divided today than ever, whether we're talking about politics or the questionable art form of twerking. However, there's one thing we can all agree on: cancer sucks. Nearly 40% of us will receive the dreaded diagnosis at some point in our lives, according to the National Cancer Institute. That's one reason why we've spent quite a bit of time writing about the topic, particularly the different technologies being developed to detect various forms of the disease. It's really a no-brainer: Data from Cancer Research UK suggests 80% of patients survive for at least 10 years after being diagnosed in the early stages of eight of the most common cancers.