With doctors’ time in short supply, one area in which AI-driven tools could help transform healthcare is by increasing diagnostic accuracy. AI-driven diagnostic tools, especially in areas like cardiology, have the potential to save the healthcare system money and most importantly save lives. They are developed using incomprehensibly large datasets and can, therefore, discover patterns that are invisible to the human eye.
For example, echo-based tools combined with deep clinical insight, machine learning, and some of the largest echo datasets in the world could reduce misdiagnosis of heart disease by more than 50 percent.
Another example of where AI could transform healthcare is by feeding algorithms sequences of images of cancer, and they can be trained to spot nascent cancers earlier – in this study, 16 percent more effectively than human doctors. However, without the training set of more than 200,000 patients, the algorithm is useless.
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Source: Hit Consultant