Cardiovascular disease is one of the most deadly diseases. Researchers have found a learning model that can easily predict death probability due to atherosclerotic cardiovascular disease. One of the most common deadly diseases is cardiovascular disease. As per the records released by World Health Organization (WHO) it is estimated that this disease took away 17.9 million lives each year. The increasing death rate created curiosity among the researchers to initiate working towards the development of medication for the prevention.

The Dubai Health Authority (DHA) has launched an artificial intelligence (AI) strategy to support its medical systems and equip medical personnel with technologies to use in the diagnosis and treatment of patients. The forecast for the future is in and, in typical British fashion, it looks like it's going to be cloudy. Our IT Priorities survey has revealed that organisations are planning on making the most of the cloud in the future. Download our IT Priorities results for more insights into where the IT industry is going. You forgot to provide an Email Address.

Infervision is working on ground-breaking work to diagnose and treat strokes with the help of machine learning algorithms. The AI medical image specialists has already completed successful pilots of its Head CT Augmented Screening platform. It is hoped that the technology will soon go into widespread use and save lives, by allowing doctors to more quickly and accurately diagnose strokes and assess the damage they have caused. It is the second medical technology based around machine learning which Infervision have reported success with – I previously wrote about their platform which detects early signs of lung cancer in X-ray and CT scans. Over 100,000 annotated medical image scans were used to train the algorithms, which given more live data will become increasingly efficient at diagnosing the two main types of stroke, hemorrhagic and ischemic.