2026
- Suspended responsibility: The trouble with integrating researchers into shared-responsibility models for machine learning-supported decisions. 30 (4), 2026, 476-496 more…
2025
- Weighing the benefits and risks of collecting race and ethnicity data in clinical settings for medical artificial intelligence. The Lancet Digital Health 7 (4), 2025, e286-e294 more…
- Weighing the benefits and risks of collecting race and ethnicity data in clinical settings for medical artificial intelligence. 7 (4), 2025, e286-e294 more…
- Climate change and health: the next challenge of ethical AI. 13 (7), 2025, e1314-e1320 more…
- Biases in machine-learning models of human single-cell data. 27 (3), 2025, 384-392 more…
- The Social Construction of Categorical Data: Mixed Methods Approach to Assessing Data Features in Publicly Available Datasets. JMIR Medical Informatics 13, 2025, e59452 more…
- The Social Construction of Categorical Data: Mixed Methods Approach to Assessing Data Features in Publicly Available Datasets. 13, 2025 more…
- Perceptions of Stigma Among Patients With Hepatitis B in Germany: Cross-Sectional Survey. 9, 2025 more…
2024
- Social Media Recruitment as a Potential Trigger for Vulnerability: Multistakeholder Interview Study. JMIR Human Factors 11, 2024, e52448-e52448 more…
- Social Media Recruitment as a Potential Trigger for Vulnerability: Multistakeholder Interview Study. 11, 2024 more…
- Embedded Ethics in Practice: A Toolbox for Integrating the Analysis of Ethical and Social Issues into Healthcare AI Research. Science and Engineering Ethics 31 (1), 2024 more…
- Embedded Ethics in Practice: A Toolbox for Integrating the Analysis of Ethical and Social Issues into Healthcare AI Research. 31 (1), 2024 more…
- Acceptance of Social Media Recruitment for Clinical Studies Among Patients With Hepatitis B: Mixed Methods Study. Journal of Medical Internet Research 26, 2024, e54034 more…
- Acceptance of Social Media Recruitment for Clinical Studies Among Patients With Hepatitis B: Mixed Methods Study. 26, 2024 more…
- Out-of-distribution detection with in-distribution voting using the medical example of chest x-ray classification. 51 (4), 2024, 2721-2732 more…
2023
- Transformer-based interpretable multi-modal data fusion for skin lesion classification. , 2023 more…
- Practical Benefits, Challenges, and Recommendations on Social Media Recruitment: Multi-Stakeholder Interview Study. 25, 2023 more…
- Social media advertising for clinical studies: Ethical and data protection implications of online targeting. 10 (1), 2023 more…
- Social media advertising for clinical studies: Ethical and data protection implications of online targeting. Big Data & Society 10 (1), 2023, 205395172311561 more…
- Attention-based Saliency Maps Improve Interpretability of Pneumothorax Classification. 5 (2), 2023 more…
2022
- Risks and benefits of dermatological machine learning health care applications-an overview and ethical analysis. 36 (9), 2022, 1660-1668 more…
- A knee cannot have lung disease: out-of-distribution detection with in-distribution voting using the medical example of chest X-ray classification. , 2022 more…
- Ethical Issues in Social Media Recruitment for Clinical Studies: Ethical Analysis and Framework. 24 (5), 2022 more…
- Correction: Ethical Issues in Social Media Recruitment for Clinical Studies: Ethical Analysis and Framework. 24 (9), 2022 more…
