Research graph
References from Operationalizing ethical AI for safe clinical integration: A qualitative interview study. Local targets link to admitted publications; unresolved targets remain external evidence.
High-performance medicine: the convergence of human and artificial intelligence
10.1038/s41591-018-0300-7 · 2019 · External reference
AI4People—An ethical framework for a good AI society
10.1007/s11023-018-9482-5 · 2018 · External reference
Unresolved reference
2021 · External reference
The global landscape of AI ethics guidelines
10.1038/s42256-019-0088-2 · 2019 · External reference
10.1145/3287560.3287574
10.1145/3287560.3287574 · External reference
Unresolved reference
2023 · External reference
Unresolved reference
External reference
Epistemic authority and medical AI: epistemological differences and challenges in medical practice
10.1007/s11019-025-10306-2 · 2026 · External reference
Prioritization first, principles second: an adaptive interpretation of helpful, honest, and harmless principles
2025 · External reference
A new sociotechnical model for studying health information technology in complex adaptive healthcare systems
10.1136/qshc.2010.042085 · 2010 · External reference
Thinking together: modeling clinical decision-support as a sociotechnical system
2018 · External reference
Unresolved reference
2015 · External reference
Using thematic analysis in psychology
10.1191/1478088706qp063oa · 2006 · External reference
The measurement of observer agreement for categorical data
10.2307/2529310 · 1977 · External reference
Ethical challenges in the use of decision-support software in clinical practice
1997 · External reference
Ten commandments for effective clinical decision support: making the practice of evidence-based medicine a reality
10.1197/jamia.m1370 · 2003 · External reference
Governance for clinical decision support: case studies and recommended practices from leading institutions
10.1136/jamia.2009.002030 · 2011 · External reference
Advancing healthcare AI governance: a comprehensive maturity model based on systematic review. npj Digit
2026 · External reference
Governing the rise of AI in healthcare: a comparative governance document and implementation implications across five jurisdictions
10.1016/j.socscimed.2026.119270 · 2026 · External reference
Artificial intelligence in clinical decision support systems: architectures, applications, and ethical challenges
2026 · External reference
Explainable AI in healthcare: to explain, to predict, or to describe?
10.1186/s41512-025-00213-8 · 2025 · External reference
Transparency of Artificial intelligence in healthcare: insights from professionals in computing and healthcare worldwide
10.3390/app122010228 · 2022 · External reference
Unresolved reference
External reference
Unresolved reference
2024 · External reference
Principles of biomedical ethics: marking its fortieth anniversary
10.1080/15265161.2019.1665402 · 2019 · External reference
The false hope of current approaches to explainable artificial intelligence in health care
10.1016/s2589-7500(21)00208-9 · 2021 · External reference
“Garbage In, Garbage out” revisited: what do machine learning application papers report about human-labeled training data?
10.1162/qss_a_00144 · 2021 · External reference
Exploring large-scale public medical image datasets
10.1016/j.acra.2019.10.006 · 2020 · External reference
Pervasive label errors in test sets destabilize machine learning benchmarks
2021 · External reference
Unresolved reference
2005 · External reference
Prediction models for diagnosis and prognosis of COVID-19: systematic review and critical appraisal
2020 · External reference
Grand challenges in clinical decision support
10.1016/j.jbi.2007.09.003 · 2008 · External reference
Keeping Medical AI healthy and Trustworthy: a review of detection and correction methods for system degradation
2025 · External reference
Bias recognition and mitigation strategies in artificial intelligence healthcare applications
10.1038/s41746-025-01503-7 · 2025 · External reference
Underdiagnosis bias of artificial intelligence algorithms applied to chest radiographs in underserved patient populations
10.1038/s41591-021-01595-0 · 2021 · External reference
Charting the sociotechnical gap in explainable AI: a framework to address the gap in XAI
202334 · External reference
Unresolved reference
1992 · External reference
Artificial intelligence in health care: accountability and safety
10.2471/blt.19.237487 · 2020 · External reference
10.1609/aies.v8i1.36548
10.1609/aies.v8i1.36548 · External reference
Evaluating accountability, transparency, and bias in AI-assisted healthcare decision- making: a qualitative study of healthcare professionals' perspectives in the UK
2025 · External reference
10.1145/3287560.3287596
10.1145/3287560.3287596 · External reference
AI documentation: a path to accountability
10.1016/j.jrt.2022.100043 · 2022 · External reference
Epistemic authority and medical AI: epistemological differences and challenges in medical practice
10.1007/s11019-025-10306-2 · ExternalCitation · doi-reference
AI4People—An ethical framework for a good AI society
10.1007/s11023-018-9482-5 · ExternalCitation · doi-reference
Exploring large-scale public medical image datasets
10.1016/j.acra.2019.10.006 · ExternalCitation · doi-reference
Grand challenges in clinical decision support
10.1016/j.jbi.2007.09.003 · ExternalCitation · doi-reference
AI documentation: a path to accountability
10.1016/j.jrt.2022.100043 · ExternalCitation · doi-reference
Governing the rise of AI in healthcare: a comparative governance document and implementation implications across five jurisdictions
10.1016/j.socscimed.2026.119270 · ExternalCitation · doi-reference
The false hope of current approaches to explainable artificial intelligence in health care
10.1016/s2589-7500(21)00208-9 · ExternalCitation · doi-reference
High-performance medicine: the convergence of human and artificial intelligence
10.1038/s41591-018-0300-7 · ExternalCitation · doi-reference
Underdiagnosis bias of artificial intelligence algorithms applied to chest radiographs in underserved patient populations
10.1038/s41591-021-01595-0 · ExternalCitation · doi-reference
Bias recognition and mitigation strategies in artificial intelligence healthcare applications
10.1038/s41746-025-01503-7 · ExternalCitation · doi-reference
The global landscape of AI ethics guidelines
10.1038/s42256-019-0088-2 · ExternalCitation · doi-reference
Principles of biomedical ethics: marking its fortieth anniversary
10.1080/15265161.2019.1665402 · ExternalCitation · doi-reference
Governance for clinical decision support: case studies and recommended practices from leading institutions
10.1136/jamia.2009.002030 · ExternalCitation · doi-reference
A new sociotechnical model for studying health information technology in complex adaptive healthcare systems
10.1136/qshc.2010.042085 · ExternalCitation · doi-reference
10.1145/3287560.3287574
10.1145/3287560.3287574 · ExternalCitation · doi-reference
10.1145/3287560.3287596
10.1145/3287560.3287596 · ExternalCitation · doi-reference
“Garbage In, Garbage out” revisited: what do machine learning application papers report about human-labeled training data?
10.1162/qss_a_00144 · ExternalCitation · doi-reference
Explainable AI in healthcare: to explain, to predict, or to describe?
10.1186/s41512-025-00213-8 · ExternalCitation · doi-reference
Using thematic analysis in psychology
10.1191/1478088706qp063oa · ExternalCitation · doi-reference
Ten commandments for effective clinical decision support: making the practice of evidence-based medicine a reality
10.1197/jamia.m1370 · ExternalCitation · doi-reference
10.1609/aies.v8i1.36548
10.1609/aies.v8i1.36548 · ExternalCitation · doi-reference
The measurement of observer agreement for categorical data
10.2307/2529310 · ExternalCitation · doi-reference
Artificial intelligence in health care: accountability and safety
10.2471/blt.19.237487 · ExternalCitation · doi-reference
Transparency of Artificial intelligence in healthcare: insights from professionals in computing and healthcare worldwide
10.3390/app122010228 · ExternalCitation · doi-reference
