Artificial intelligence in healthcare delivery: Prospects and pitfalls
York St John University · University of East London · +6 more institutions
Abstract
This review provides a comprehensive examination of the integration of Artificial Intelligence (AI) into healthcare, focusing on its transformative implications and challenges. Utilising a systematic search strategy across electronic databases such as PubMed, Scopus, Embase, and Sciencedirect, relevant peer-reviewed articles published in English between January 2010 till date were identified. Findings reveal AI's significant impact on healthcare delivery, including its role in enhancing diagnostic precision, enabling treatment personalisation, facilitating predictive analytics, automating tasks, and driving robotics. AI algorithms demonstrate high accuracy in analysing medical images for disease diagnosis and…
Citation impact
- FWCI
- 14.65
- Percentile
- 100%
- References
- 83
Authors
6- DBDavid B. OlawadeCorresponding
York St John University, University of East London
- ACAanuoluwapo Clement David-Olawade
University of Derby
- OZOjima Z. Wada
Qatar Foundation, Hamad bin Khalifa University
- AJAkinsola J Asaolu
Derbyshire Community Health Services NHS Foundation Trust
- TATemitope Adereni
University of Dundee
Topics & keywords
- Transformative learning
- Workflow
- Health care
- Artificial intelligence
- Computer science
- Analytics
- Applications of artificial intelligence
- Interpretability