Trust and Transparency in Machine Learning-Based Clinical Decision Support
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Algorithmic transparency has sometimes been advocated as pivotal for promoting an effective interaction with ai.
“algorithmic transparency has been sometimes advocated as pivotal for promoting an effective interaction with ai6,9,36”
From Experimental evidence of effective human–AI collaboration in medical decision-making (2022) · cites this paper as [6]
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Experimental evidence of effective human–AI collaboration in medical decision-making
Reverberi, C., Rigon, T., Solari, A., Hassan, C., Cherubini, P., GI Genius CADx Study Group, Antonelli, G., Awadie, H., Bernhofer, S., Carballal, S., et al. (2022) · Scientific Reports · doi:10.1038/s41598-022-18751-2 · Cited by 235 · see citing works
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- Authors
- Gretton, C.
- Affiliations
- University College London (GB)
- Corresponding author
- Gretton, Cosima
- ORCID
- Gretton, Cosima
- Venue
- Human–Computer Interaction Series
- Publisher
- Springer International Publishing
- Published
- 2018
- Pages
- 279-292
- ISSN
- 1571-5035 (ISSN-L)
- 2524-4477
- OpenAlex
- W2805399480
- Cited by
- 27
- References
- 52
- Citations by year
- 2026: 1 · 2025: 5 · 2024: 6 · 2023: 4 · 2022: 7 · 2021: 3 · 2020: 1
- FWCI
- 1.50
- Type
- book chapter
- Language
- en
- Open access
- closed
- Locations
- Human-computer interaction series (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Explainable Artificial Intelligence (XAI)
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Social Sciences › Psychology › Social Psychology › Human-Automation Interaction and Safety
- Keywords
- clinical decision support systems, machine learning, trust in automation, transparency, automation bias, automation complacency, medical errors, clinician trust, explainability
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