This paper presents the strengths, weaknesses, opportunities, and threats for Artificial Intelligence (AI) as applied to long-term respiratory disease management. This analysis will help to identify, understand, and evaluate key aspects of the technology as well as the various internal/external forces which influence its success in this application space. Such understanding is instrumental to ensure judicial planning and implementation with suitable safeguards being considered. AI has the potential to radically change how respiratory disease management is conducted and may help clinicians to realise new treatment paradigms. The application of AI is clearly not specific to respiratory disease management; however it is a chronic disease that requires on-going monitoring and well evidenced decision making regarding treatment pathways or medication modification. This work emphasises the current position of AI as applied to respiratory disease management and identifies the issues to help develop strategic directions to ensure successful implementation, evidenced by ubiquitous acceptance and uptake.
|Number of pages||5|
|Publication status||Published - 6 Jul 2018|
|Event||British HCI Conference 2018 - Belfast, Belfast, Northern Ireland|
Duration: 2 Jul 2018 → 6 Jul 2018
|Conference||British HCI Conference 2018|
|Period||2/07/18 → 6/07/18|
- Artificial Intelligence
- Disease management
- Machine learning
Catherwood, P., Rafferty, J., & McLaughlin, J. (2018). Artificial Intelligence for Long-term Respiratory Disease Management. 1-5. Paper presented at British HCI Conference 2018, Belfast, Northern Ireland.