AI Reduces Medical Errors
Respectable numbers of Americans are harmed as a result of medical errors. The Institute of Medicine (IOM) report says at least 44,000, and perhaps as many as 98,000, Americans die in hospitals each year as a result of medical errors. In fact, Analyzing medical death rate data over an eight-year period, Johns Hopkins patient safety experts have calculated that more than 250,000 deaths per year are due to medical error in the U.S. Another study claims that this number could be as high as 440,000.
AI and deep learning technology left a mark on the healthcare industry and we start to notice some changes in the landscape of the healthcare industry over the past few years.
AI-powered technology is coming to the assistance of doctors and patients to help lower these numbers.
How Does AI Improve patient Safety Outcomes?

The artificial intelligence (AI) technologies steadily being applied to healthcare, using Deep Learning and Machine Learning will help to perform tasks as well or better than humans at certain procedures, such as diagnosing disease, notwithstanding, it will be a significant number of years before AI in healthcare replaces humans for a broad range of medical tasks.
In our blog, we would like to show you one exited project that will take 1 minute of reading in the field of healthcare that assists doctors to provide more accurate diagnoses and save patient lives.
Treating Blood Disease
In order to identify the presence or absence of blood disease, doctors need to be able to analyze patient blood samples. In fact, doctors used to manually analyze the tests and try to provide a diagnosis. However, at the present time, doctors are using deep learning which falls under the AI umbrella that teaches computers to do what comes naturally to humans. For instance, Beth Israel Deaconess Medical Center is using AI to scan the images and identify blood disease presence. They used 25,000 different blood test images to train the machines and now they are able to diagnose patients with a 95% accuracy rate. In addition to the speed, the new technology is able to identify blood disease at much earlier stages than was previously possible. This has opened the door for life-saving treatments before the disease progresses, and increased the survival rate.
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