Description
An interdisciplinary artificial intelligence project between researchers at Faculty of Law and Faculty of Medicine. Presentation at an AIR Lund meeting.| Period | 2021 Oct 1 |
|---|---|
| Held at | Emergency medicine |
| Degree of Recognition | Local |
Subject classification (UKÄ)
- Medical and Health Sciences
- Clinical Medicine
- Law
- Medical Engineering
Free keywords
- Emergency medicine
- Emergency Department
- Artificial Intelligence
- Machine Learning
- Dyspnea
- Breathing difficulties
- Diagnostics
- GDPR
- Law
- Transparency
- Patient´s rights
- Interpretability
Related content
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Prizes and Distinction
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Grant
Prize: Other distinction
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Research output
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Improving Machine Learning 30-Day Mortality Prediction by Discounting Surprising Deaths
Research output: Contribution to journal › Article › peer-review
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Likelihood of admission to hospital from the emergency department is not universally associated with hospital bed occupancy at the time of admission
Research output: Contribution to journal › Article › peer-review
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Activities
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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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Halland residents in a research project on breathing difficulties (Hallänningar i forskningsprojekt om andningssvårigheter)
Activity: Other › Media participation
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Treating patients with breathing difficulties is demanding - AI may help
Activity: Other › Media participation
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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