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Artificial intelligence in medicine

Ramesh, AN; Kambhampati, C; Monson, JRT; Drew, PJ

Authors

AN Ramesh

C Kambhampati C.Kambhampati@hull.ac.uk

JRT Monson

PJ Drew



Abstract

INTRODUCTION Artificial intelligence is a branch of computer science capable of analysing complex medical data. Their potential to exploit meaningful relationship with in a data set can be used in the diagnosis, treatment and predicting outcome in many clinical scenarios. METHODS Medline and internet searches were carried out using the keywords 'artificial intelligence' and 'neural networks (computer)'. Further references were obtained by cross-referencing from key articles. An overview of different artificial intelligent techniques is presented in this paper along with the review of important clinical applications. RESULTS The proficiency of artificial intelligent techniques has been explored in almost every field of medicine. Artificial neural network was the most commonly used analytical tool whilst other artificial intelligent techniques such as fuzzy expert systems, evolutionary computation and hybrid intelligent systems have all been used in different clinical settings. DISCUSSION Artificial intelligence techniques have the potential to be applied in almost every field of medicine. There is need for further clinical trials which are appropriately designed before these emergent techniques find application in the real clinical setting.

Journal Article Type Article
Publication Date Sep 1, 2004
Journal Annals of the Royal College of Surgeons of England
Print ISSN 0035-8843
Electronic ISSN 1478-7083
Publisher Royal College of Surgeons of England
Peer Reviewed Peer Reviewed
Volume 86
Issue 5
Pages 334-338
APA6 Citation Ramesh, A., Kambhampati, C., Monson, J., & Drew, P. (2004). Artificial intelligence in medicine. Annals of the Royal College of Surgeons of England, 86(5), 334-338. https://doi.org/10.1308/147870804290
DOI https://doi.org/10.1308/147870804290
Keywords Surgery; General Medicine