Christoffer Bjerre Haase
PhD fellow
Section of Health Services Research
Postboks 2099, Øster Farimagsgade 5 opg. Q
1014 København K
Member of:
ORCID: 0000-0003-3895-518X
41 - 42 out of 42Page size: 10
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Co-design of a trustworthy AI system in healthcare: Deep learning based skin lesion classifier
Zicari, R. V., Ahmed, S., Amann, J., Braun, S. A., Brodersen, J., Bruneault, F., Brusseau, J., Campano, E., Coffee, M., Dengel, A., Düdder, B., Gallucci, A., Gilbert, T. K., Gottfrois, P., Goffi, E., Haase, C. B., Hagendorff, T., Hickman, E., Hildt, E., Holm, S. & 15 others, , Jul 2021, In: Frontiers in Human Dynamics . 3, 20 p., 688152.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Challenges facing early-career and mid-career researchers: potential solutions to safeguard the future of evidence-based medicine
Haase, Christoffer Bjerre, 2021, In: BMJ Evidence-Based Medicine. 26, 1, p. 8-11 4 p.Research output: Contribution to journal › Comment/debate › Research › peer-review
ID: 203701509
Most downloads
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196
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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
Published -
101
downloads
The lack of ontological awareness in evidence-based medicine allows overdiagnosis
Research output: Contribution to journal › Conference abstract in journal › Research › peer-review
Published -
84
downloads
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