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# Artificial Intelligence for Long-term Respiratory Disease Management

Proceedings of the 32nd International BCS Human Computer Interaction Conference (HCI)

Human Computer Interaction Conference

4 - 6 July 2018

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### Abstract

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.

### Most cited references30

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### Author and article information

###### Affiliations
School of Engineering

Ulster University

Shore Rd., N’abbey

Co.Antrim, BT370QB
Sch. of Computing & Mathematics

Ulster University

Shore Rd., N’abbey

Co.Antrim, BT370QB
###### Conference
July 2018
July 2018
: 1-5
10.14236/ewic/HCI2018.65
© Catherwood et al. Published by BCS Learning and Development Ltd. Proceedings of British HCI 2018. Belfast, UK.

Proceedings of the 32nd International BCS Human Computer Interaction Conference
HCI
32
Belfast, UK
4 - 6 July 2018
Electronic Workshops in Computing (eWiC)
Human Computer Interaction Conference
###### Product
Product Information: 1477-9358 BCS Learning & Development
Self URI (journal page): https://ewic.bcs.org/
###### Categories
Electronic Workshops in Computing