Clinical Requirements for Transparent Machine Learning Model Information: A Mixed Methods Study Protocol
Limited transparency of machine learning models poses risks their effective use. Through semi-structured interviews with physicians, this mixed methods study will qualitatively identify requirements for transparent machine learning model information for a diagnostic decision support system in the emergency department. Then, a prototype will be developed and tested, aiming to align clinical needs with regulatory requirements and improve the responsible use of artificial intelligence in healthcare.
Authors
- Lina Mosch (ORCID: https://orcid.org/0000-0003-3154-2745)
- Felix Balzer (ORCID: https://orcid.org/0000-0003-1575-2056)
- Louis Agha-Mir-Salim (ORCID: https://orcid.org/0000-0002-2733-5084)
- Nicolas Frey (ORCID: https://orcid.org/0009-0000-0195-6096)
Institutions
- Humboldt-Universität zu Berlin (DE)
- Freie Universität Berlin (DE)
- Charité - Universitätsmedizin Berlin (DE)
Publication Details
- Journal
- Studies in health technology and informatics
- Published
- 2025-05-15
- DOI
- https://doi.org/10.3233/shti250353
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00