Artificial intelligence in medicine

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

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.

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

• Journal Article Type: Article
• Acceptance Date: Sep 30, 2004
• Publication Date: Sep 1, 2004
• Journal: Annals of the Royal College of Surgeons of England
• Print ISSN: 0035-8843
• Publisher: Royal College of Surgeons of England
• Peer Reviewed: Peer Reviewed
• Volume: 86
• Issue: 5
• Pages: 334-338
• DOI: https://doi.org/10.1308/147870804290
• Keywords: Surgery; General Medicine
• Public URL: https://hull-repository.worktribe.com/output/409672