Artificial Intelligence for Long-term Respiratory Disease Management

Research output: Contribution to conferencePaper

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.
LanguageEnglish
Pages1-5
Number of pages5
Publication statusPublished - 6 Jul 2018
EventBritish HCI Conference 2018 - Belfast, Belfast, Northern Ireland
Duration: 2 Jul 20186 Jul 2018

Conference

ConferenceBritish HCI Conference 2018
Abbreviated titleBHCI2018
CountryNorthern Ireland
CityBelfast
Period2/07/186/07/18

Fingerprint

Pulmonary diseases
Artificial intelligence
Space applications
Decision making
Planning
Monitoring

Keywords

  • Artificial Intelligence
  • Disease management
  • Machine learning
  • Respiratory
  • SWOT

Cite this

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.
Catherwood, P ; Rafferty, Joseph ; McLaughlin, James. / Artificial Intelligence for Long-term Respiratory Disease Management. Paper presented at British HCI Conference 2018, Belfast, Northern Ireland.5 p.
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Catherwood, P, Rafferty, J & McLaughlin, J 2018, 'Artificial Intelligence for Long-term Respiratory Disease Management' Paper presented at British HCI Conference 2018, Belfast, Northern Ireland, 2/07/18 - 6/07/18, pp. 1-5.

Artificial Intelligence for Long-term Respiratory Disease Management. / Catherwood, P; Rafferty, Joseph; McLaughlin, James.

2018. 1-5 Paper presented at British HCI Conference 2018, Belfast, Northern Ireland.

Research output: Contribution to conferencePaper

TY - CONF

T1 - Artificial Intelligence for Long-term Respiratory Disease Management

AU - Catherwood, P

AU - Rafferty, Joseph

AU - McLaughlin, James

PY - 2018/7/6

Y1 - 2018/7/6

N2 - 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.

AB - 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.

KW - Artificial Intelligence

KW - Disease management

KW - Machine learning

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Catherwood P, Rafferty J, McLaughlin J. Artificial Intelligence for Long-term Respiratory Disease Management. 2018. Paper presented at British HCI Conference 2018, Belfast, Northern Ireland.