ARTIFICIAL INTELLIGENCE IN HEALTHCARE
Publication Date: 2017-Jul-04
The IP.com Prior Art Database
The present disclosure relates generally to artificial intelligence (AI) and more particularly to artificial intelligence in healthcare.
Artificial intelligence is the ability of a machine to mimic or exceed human intelligence. AI is the theory and development of computer systems able to perform tasks that normally require human intelligence, such as visual perception, speech recognition, decision making and translation between languages.
Over the years, artificial intelligence has refined into machine learning and machine learning has further refined into deep learning, as depicted in Figure 1.
Image Source: https://blogs.nvidia.com/blog/2016/07/29/whats-difference-artificial-intelligence-machine-learning-deep-learning-ai/
Figure 2 depicts the artificial intelligence trajectory. The first generation of artificial intelligence was started from year 1956, whereas 2011 onwards the second generation of AI has evolved as deep learning.
As depicted in figure 3, deep learning works by refining the image into thousand dimension description vectors and further classifying the image into each object ID (identification)
Figure 4 depicts the difference between first generation AI and second generation AI. The first generation of AI includes conventional machine learning, whereas second generation of AI includes deep learning.
Figure 5 depicts the success rates on image net visual recognition challenge between first generation AI and second generation AI. The human recognition level occurs at ninety five percentages.
It would be desirable to have an artificial intelligence support in healthcare.
BRIEF DESCRIPTION OF DRAWINGS
Figure 1 depicts the artificial intelligence timeline with examples taken from a blog on NVIDIA’s website (https://blogs.nvidia.com/blog/2016/07/29/whats-difference-artificial-intell...