The Importance Of Artificial Intelligence

969 Words2 Pages

Artificial intelligence has expanded drastically over the last few years. In healthcare it is especially important since it can assist with patient care and treatment. Artificial intelligence is exactly as it sounds; it is a machine, like a computer, that goes beyond those parallels taking a step further by thinking and predicting what its user would do next. In their paper, Advances in artificial intelligence research in health, Khanna, Sattar and Hansen describe artificial intelligence and its capabilities as “focused on traits of reasoning, knowledge representation, planning, learning, communication, perception and social intelligence, AI has been widely applied to augment the state of the art in Health Informatics” (Khanna, Sattar and Hansen, …show more content…

Artificial intelligence works in a similar way by the use of a system referred to as ANN which stands for Artificial Neuron Networks. The idea for ANN came from brain and the neurological system and is the commonly used of the 4 systems in healthcare. It is made up of computer system networks enhanced by inter-linked computer processors and side by side calculations for the processing of information. This allows for the artificial intelligence network to be taught to predict the next set of information needed by analysis and thinking ahead. Its use in medicine is owed to Baxt because he was able to create a network of neurons that correctly and precisely diagnosed acute myocardial infarction. This led to the doors opening for Artificial Intelligent use in all areas of medicine as the potential increased for accuracy and better patient treatment. Artificial Intelligence is especially beneficial in radiology and analysis of images by possibly using “both human observations and direct digitised images as inputs to the networks. ANNs have been used to interpret plain radiographs, ultrasound, CT, MRI, and radioisotope scans” (Ramesh, Kambhampati, Monson and Drew, 2004).
Fuzzy expert systems is in itself a scientific practice of logically analyzing and deducting that things are not absolute and clear cut but have an in between as well. It only uses 0 and 1 just like the binary system to formulate its diagnosis or prediction. “Fuzzy logic is a data handling methodology that permits ambiguity and hence is particularly suited to medical applications” (Ramesh, Kambhampati, Monson and Drew, 2004). A fuzzy expert system example in the medical field is the use of computerized fuzzy controllers made for the application of vasodilators to keep hypertension under

Open Document