How does an AI diagnose dyspnoea in ED triage without human guidance?
Tolestam Heyman, Ellen LU
; Ashfaq, Awais
; Ekelund, Ulf
LU
; Ohlsson, Mattias
LU
; Björk, Jonas
LU
; Khoshnood, Ardavan M.
LU
and Lingman, Markus
(2024)
Swedish Emergency Medicine Talks - SWEETS24
- Abstract
- • We aimed to capture possible insights from an AI diagnosing without human guidance.
• We believe the result mainly aligns with previous knowledge. Though, vital signs and sex did not aid the AI diagnostics.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/7ec83e00-3dba-4f3f-85bb-818ffe660878
- author
- Tolestam Heyman, Ellen
LU
; Ashfaq, Awais
; Ekelund, Ulf
LU
; Ohlsson, Mattias
LU
; Björk, Jonas
LU
; Khoshnood, Ardavan M.
LU
and Lingman, Markus
- organization
-
- Emergency medicine (research group)
- Medicine, Lund
- EpiHealth: Epidemiology for Health
- LU Profile Area: Natural and Artificial Cognition
- Centre for Environmental and Climate Science (CEC)
- eSSENCE: The e-Science Collaboration
- Artificial Intelligence in CardioThoracic Sciences (AICTS) (research group)
- LU Profile Area: Nature-based future solutions
- EPI@LUND (research group)
- Surgery and public health (research group)
- Centre for Economic Demography
- Division of Occupational and Environmental Medicine, Lund University
- Cardiovascular Research - Hypertension (research group)
- publishing date
- 2024-03-20
- type
- Contribution to conference
- publication status
- published
- subject
- keywords
- artificial intelligence, AI, Dyspnea, emergency medicine, artificiell intelligens, AI, Dyspne, akutsjukvård
- conference name
- Swedish Emergency Medicine Talks - SWEETS24
- conference location
- Göteborg, Sweden
- conference dates
- 2024-03-20 - 2024-03-22
- project
- Resource Management in the Emergency Department by using Machine Learning
- language
- English
- LU publication?
- yes
- id
- 7ec83e00-3dba-4f3f-85bb-818ffe660878
- date added to LUP
- 2024-03-24 19:55:12
- date last changed
- 2024-03-25 14:22:33
@misc{7ec83e00-3dba-4f3f-85bb-818ffe660878,
abstract = {{• We aimed to capture possible insights from an AI diagnosing without human guidance.<br/>• We believe the result mainly aligns with previous knowledge. Though, vital signs and sex did not aid the AI diagnostics.}},
author = {{Tolestam Heyman, Ellen and Ashfaq, Awais and Ekelund, Ulf and Ohlsson, Mattias and Björk, Jonas and Khoshnood, Ardavan M. and Lingman, Markus}},
keywords = {{artificial intelligence; AI; Dyspnea; emergency medicine; artificiell intelligens; AI; Dyspne; akutsjukvård}},
language = {{eng}},
month = {{03}},
title = {{How does an AI diagnose dyspnoea in ED triage without human guidance?}},
url = {{https://lup.lub.lu.se/search/files/177954881/Poster_SWEETS_2024.pdf}},
year = {{2024}},
}