Christoffer Bjerre Haase
PhD fellow
Section of Health Services Research
Postboks 2099, Øster Farimagsgade 5 opg. Q
1014 København K
Member of:
- Published
Dit smartwatch gør dig nok ikke sundere, men det gør wellnessproducenterne rigere
Haase, Christoffer Bjerre, Spalletta, Olivia & Green, Sara, 8 Dec 2023, In: Information. 1 p.Research output: Contribution to journal › Contribution to newspaper - Newspaper article › Communication
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E4M_2.2: equality vs responsibility?
Di Nucci, Ezio & Haase, Christoffer Bjerre, 2023Research output: Non-textual form › Sound/Visual production (digital) › Communication
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E4M_2.4: the ethics of reproductive technologies
Di Nucci, Ezio, Haase, Christoffer Bjerre & Lee, Ji Young, 2023Research output: Non-textual form › Sound/Visual production (digital) › Communication
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E4M_2.5: reciprocity vs solidarity with O Spalletta
Di Nucci, Ezio, Haase, Christoffer Bjerre & Spalletta, Olivia , 2023Research output: Non-textual form › Sound/Visual production (digital) › Communication
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E4M_3.1: future doctors, quo vadis?
Di Nucci, Ezio & Haase, Christoffer Bjerre, 2024Research output: Non-textual form › Sound/Visual production (digital) › Communication
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Hvordan håndterer praktiserende læger patienters selvmålte data?
Haase, Christoffer Bjerre, 2023, In: Practicus. 268, p. 16-17 2 p.Research output: Contribution to journal › Journal article › Communication
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Læger efter ny diagnose: Hvor mange ældre mennesker skal vi sygeliggøre i forsøget på at hjælpe?
Haase, Christoffer Bjerre, Brodersen, John Brandt & Bülow, J., 27 Jan 2022, In: Kristeligt Dagblad. 1 p.Research output: Contribution to journal › Contribution to newspaper - Feature article › Communication
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Læger skal møde naiv dataoptimisme med kritisk sans
Haase, Christoffer Bjerre, 19 Feb 2024, In: Ugeskrift for Laeger. 1 p.Research output: Contribution to journal › Contribution to newspaper - Feature article › Communication
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Pas på, når du måler din sundhed
Haase, Christoffer Bjerre, 2024, In: Jyllands-Posten.Research output: Contribution to journal › Contribution to newspaper - Feature article › Communication
ID: 203701509
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193
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On assessing trustworthy AI in healthcare: Best practice for machine learning as a supportive tool to recognize cardiac arrest in emergency calls
Research output: Contribution to journal › Journal article › Research › peer-review
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101
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The lack of ontological awareness in evidence-based medicine allows overdiagnosis
Research output: Contribution to journal › Conference abstract in journal › Research › peer-review
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78
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Co-design of a trustworthy AI system in healthcare: Deep learning based skin lesion classifier
Research output: Contribution to journal › Journal article › Research › peer-review
Published