Description
A news feature in Sveriges Radio P4 HallandPeriod | 2022 Apr 22 |
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Held at | Sveriges Radio P4, Halland, Sweden |
Degree of Recognition | Regional |
UKÄ subject classification
- Medical and Health Sciences
- Medical Engineering
- Clinical Medicine
Keywords
- Emergency Medicine
- Emergency Department
- Artificial Intelligence
- Machine Learning
- Dyspnea
- Breathing difficulties
- Diagnostics
Documents & Links
Related content
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Activities
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Transparency in medical diagnoses – an interdisciplinary project
Activity: Talk or presentation › Presentation
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Design of an AI support for diagnosis of patients seeking care in an emergency department because of breathing difficulties
Activity: Consultancy, expert advice and memberships › Member of external research organisation
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Design of an AI support for diagnosis of patients seeking care in an emergency department because of breathing difficulties
Activity: Talk or presentation › Presentation
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Information video
Activity: Other › Media participation
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Halland residents in a research project on breathing difficulties (Hallänningar i forskningsprojekt om andningssvårigheter)
Activity: Other › Media participation
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Design of an AI support for diagnosis of patients seeking care in an emergency department because of breathing difficulties
Activity: Talk or presentation › Presentation
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Prizes and Distinction
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Grant
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Grant
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Grant
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Grant
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Grant
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Grant
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Grant
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Grant
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Projects
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Resource Management in the Emergency Department by using Machine Learning
Project: Dissertation
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AIR Lund - Artificially Intelligent use of Registers
Project: Research