Work on expert systems has received extensive attention recently, prompting growing interest in a range of environments. To date, these expert systems have been very successful in a wide variety of applications. In the field of medicine alone, the first attempt to apply Artificial Intelligence techniques to medical decision-making began in the early 1970s.
This research project attempts to trace the techniques to the application of Artificial Intelligence medical diagnosis and treatment.
The evolution of Artificial Intelligence has emphasised two contrasting aims-- to improve reliability and flexibility as well as to reduce the cost of computer services. The second-generation systems discussed in this project attempts to highlight these two aims.
From this study, it is found that the application of Artificial Intelligence techniques to medical diagnosis leads to a more efficient and effective decision. More significantly, it eases knowledge acquisition and enhances human understanding of the problem domain.
Finally, eight salient examples of medical expert systems have been selected for use as illustrations throughout the research project.