IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Artificial Intelligence Techniques in Medicine and Healthcare

Artificial Intelligence Techniques in Medicine and Healthcare
View Sample PDF
Author(s): Rezaul Begg (Victoria University, Melbourne, Australia)
Copyright: 2009
Pages: 8
Source title: Medical Informatics: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Joseph Tan (McMaster University, Canada)
DOI: 10.4018/978-1-60566-050-9.ch057

Purchase

View Artificial Intelligence Techniques in Medicine and Healthcare on the publisher's website for pricing and purchasing information.

Abstract

Now-a-days, researchers are increasingly looking into new and innovative techniques with the help of information technology to overcome the rapid surge in healthcare costs facing the community. Research undertaken in the past has shown that artificial intelligence (AI) tools and techniques can aid in the diagnosis of disease states and assessment of treatment outcomes. This has been demonstrated in a number of areas, including: help with medical decision support system, classification of heart disease from electrocardiogram (ECG) waveforms, identification of epileptic seizure from electroencephalogram (EEG) signals, ophthalmology to detect glaucoma disease, abnormality in movement pattern (gait) recognition for rehabilitation and potential falls risk minimization, assisting functional electrical stimulation (FES) control in rehabilitation setting of spinal cord injured patients, and clustering of medical images (Begg et al., 2003; Garrett et al., 2003; Masulli et al., 1998; Papadourokis et al., 1998; Silva & Silva, 1998). Recent developments in information technology and AI tools, particularly in neural networks, fuzzy logic and support vector machines, have provided the necessary support to develop highly efficient automated diagnostic systems. Despite plenty of future challenges, these new advances in AI tools hold much promise for future developments in AI-based approaches in solving medical and health-related problems. This article is organized as follows: Following an overview of major AI techniques, a brief review of some of the applications of AI in healthcare is provided. Future challenges and directions in automated diagnostics are discussed in the summary and conclusion sections.

Related Content

David Edson Ribeiro, Valter Augusto de Freitas Barbosa, Clarisse Lins de Lima, Ricardo Emmanuel de Souza, Wellington Pinheiro dos Santos. © 2021. 15 pages.
Juliana Carneiro Gomes, Maíra Araújo de Santana, Clarisse Lins de Lima, Ricardo Emmanuel de Souza, Wellington Pinheiro dos Santos. © 2021. 12 pages.
Maíra Araújo de Santana, Jessiane Mônica Silva Pereira, Clarisse Lins de Lima, Maria Beatriz Jacinto de Almeida, José Filipe Silva de Andrade, Thifany Ketuli Silva de Souza, Rita de Cássia Fernandes de Lima, Wellington Pinheiro dos Santos. © 2021. 19 pages.
Jessiane Mônica Silva Pereira, Maíra Araújo de Santana, Clarisse Lins de Lima, Rita de Cássia Fernandes de Lima, Sidney Marlon Lopes de Lima, Wellington Pinheiro dos Santos. © 2021. 25 pages.
Adriel dos Santos Araujo, Roger Resmini, Maira Beatriz Hernandez Moran, Milena Henriques de Sousa Issa, Aura Conci. © 2021. 35 pages.
Abir Baâzaoui, Walid Barhoumi. © 2021. 21 pages.
Marcus Costa de Araújo, Luciete Alves Bezerra, Kamila Fernanda Ferreira da Cunha Queiroz, Nadja A. Espíndola, Ladjane Coelho dos Santos, Francisco George S. Santos, Rita de Cássia Fernandes de Lima. © 2021. 44 pages.
Body Bottom