Artificial intelligence is gradually being adopted by health services to assist medics with the diagnosis of serious diseases. In one new development, scientists in Oxford, U.K. have launched an AI system for heart disease.
The ability to quantify the extent of kidney damage and predict the life remaining in the kidney, using an image obtained at the time when a patient visits the hospital for a kidney biopsy, now is possible using a computer model based on artificial intelligence (AI).
he gene-editing technology CRISPR could very well one day rid the world of its most devastating diseases, allowing us to simply edit away the genetic code responsible for an illness. One of the things standing in the way of turning that fantasy into reality, though, is the problem of off-target effects. Now Microsoft is hoping to use artificial intelligence to fix this problem.
The fear that machines will replace humans in the workplace is not a new one. In 1930, economist John Maynard Keynes conjectured that in the years to come, modern economies would face a new kind of affliction: what Keynes called “technological unemployment.”
Microsoft has partnered with and invested in US-based Adaptive Biotechnologies to map the human immune system genetics using artificial intelligence (AI) for early detection and diagnosis of multiple diseases, including cancer.
The health system has developed AI-based algorithms used on its more than 27 petabytes of data to define patient subpopulations — those with congestive heart failure or asthma, for instance — to target interventions to those groups. It’s developed algorithms using electronic health record data to predict patient decline in hospitals.
Atrial Fibrillation (AFib), is the most common heart arrhythmia, and a leading cause of stroke. AFib affects more than 30 million people worldwide, and one in four people over the age of 40 are at risk for developing it. Millions of people around the world are unknowingly living with AFib. Yet, two out of three strokes are preventable when AFib is detected and treated appropriately.
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